Remote Jobs

About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia , and more. About the Position As a Freelance Integrated Marketing Manager , you will own the strategy and execution of integrated campaigns across Toloka’s priority audience driving demand across the offering portfolio. You will determine how we surround that audience with the story across content, paid media, events, field marketing, lifecycle, social, partnerships, PR, and sales activation and turn attention into meaningful commercial outcomes. You will build campaign strategy, orchestrate teams and agencies, personally execute where needed, measure performance, and continuously optimize based on what is working. You will initially focus on: • Building demand and pipeline for Toloka’s enterprise and managed AI solutions • Driving awareness, adoption, and growth for Toloka’s platform • Establishing Toloka as a recognized category leader among AI researchers, engineers, enterprise AI teams, and the broader AI ecosystem This is both a strategic and highly operational role. What you’ll do • Build integrated campaigns across Toloka’s priority audiences, solutions, launches, and market moments with clear messaging and business goals • Drive enterprise pipeline through coordinated ABM, content, events, paid, executive engagement, and outbound • Accelerate self-service growth by improving acquisition, activation, and repeat usage among AI engineers and technical teams • Orchestrate launches and market moments to create sustained awareness, engagement, and demand • Maximize channel performance across events, paid media, web, email, social, and other campaign channels • Test, learn, and scale by continuously optimizing audiences, messaging, creative, offers, and conversion paths • Measure business impact across account engagement, pipeline, product adoption, acquisition, and category awareness What we're Looking For: • 6+ years of B2B marketing experience owning integrated demand-generation programs • Experience marketing technical products, ideally AI, ML, developer tools, data, cloud, or enterprise software • Proven ability to drive pipeline across both enterprise sales-led and self-service/PLG motions • Experience marketing to technical audiences across channels including paid, events, content, ABM, and lifecycle • Strong analytical, program management, and optimization skills • Strong creative judgment with the ability to move quickly in a fast-changing environment [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: • Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. • Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. • Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia , and more. About the Position As Product Marketing Manager , you will sit at the intersection of product, sales, marketing, and customers and turn complex AI capabilities into clear, differentiated stories that move the market. Cross functionally, you will help determine who we are building for, which problems matter most, how we package our capabilities, why customers should choose Toloka, and how our teams communicate that value consistently across the customer journey. You will initially focus on two major growth areas: • Enterprise and managed AI data solutions , helping frontier model labs, enterprise AI teams, and emerging AI companies train, evaluate, and improve increasingly sophisticated models and agents. • Toloka’s self-service platform , helping AI engineers and researchers access expert human data and build data workflows faster and more independently. This is a player-coach role. You will be expected to personally build the foundation while helping us develop a world-class product marketing function over time. What you’ll do • Own positioning and messaging across priority products, audiences, and use cases, translating complex AI/ML capabilities into clear, differentiated customer value • Define ICPs and priority use cases by turning customer, market, and sales insights into actionable segmentation and GTM recommendations • Lead go-to-market strategy for launches, solutions, and strategic initiatives, including audience, messaging, proof, competitive narrative, enablement, and measurement • Bring customer and market intelligence into the business to influence product, packaging, and GTM decisions • Own competitive intelligence and equip teams with clear differentiation, battlecards, objection handling, and guidance on where Toloka should compete • Develop customer proof through case studies, benchmarks, technical proof points, and quantified outcomes • Enable Sales with messaging, pitch narratives, discovery tools, use-case materials, and ongoing feedback from customers and the field • Shape thought leadership by turning Toloka’s technical expertise, research, and market perspective into compelling category narratives What we're Looking For: • 6+ years of B2B product marketing experience in AI, ML, developer tools, data, cloud, or another technical category • Proven ownership of positioning, messaging, ICPs, launches, competitive intelligence, and sales enablement • Strong understanding of enterprise buying motions and technical audiences • Ability to translate complex products into clear customer value • Strong customer research, market analysis, and communication skills • Effective cross-functional leader who can operate in ambiguity, create structure, and execute hands-on [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: • Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. • Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. • Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out …

About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. About the Team We are the ML team inside Toloka — we build the machine-learning products that power the platform itself, so every project running on Toloka is faster, cheaper, and more reliable. A few examples of what we own: • Enterprise post-training- we are helping real companies by providing them small LLMs that beat frontier models in quality at a fraction of the cost. • Off-the-shelf post-training - we are conducting research on datasets we deliver to clients, showing that training on these datasets will improve their performance. • Fine-tuning and RL — adapting frontier and open-source models to Toloka's tasks to hit the right quality at the right cost. • Evaluation, benchmarking, cost modeling, and model selection across providers. • LLM QA — the core technology behind Toloka's automated quality-check mechanism. Every annotation flowing through Self-Service is reviewed by an LLM agent we design, train, and operate. We own the full chain. The same team designs the ML solution, ships it to production, keeps it running 24/7, analyzes the results coming back from real projects, and feeds that signal into the next iteration. No hand-off between research, engineering, and operations — it's all us. About the Position As a Principal ML Researcher, you will define the overarching technical vision, research strategy, and architecture for Toloka’s core ML and post-training stack. In this high-impact role, you will bridge frontier AI research and large-scale platform engineering. You will lead technical strategy across greenfield post-training paradigms (such as GRPO, process/outcome reward modeling, and RLAIF), architect resilient automated evaluation ecosystems, and set the standard for how foundation models are adapted and served on our platform. As a technical authority, you will mentor senior ML engineers, collaborate directly with executive leadership, and represent Toloka in the broader AI research community. What you’ll do • Drive Technical Strategy: Define the multi-quarter strategy and architecture for Toloka’s post-training stack, ensuring our fine-tuning, RL, and evaluation capabilities stay ahead of industry trends. • Architect Greenfield Post-Training & RL Pipelines: Spearhead the transition beyond basic SFT into advanced RL frameworks (GRPO, PPO/DPO, reward modeling, Process Reward Models, and RLAIF) to power platform-wide LLM alignment and agent behavior. • Pioneer Next-Gen Evaluation Harnesses: Design and calibrate bulletproof automated evaluation ecosystems, including human-aligned LLM-as-a-judge frameworks, dynamic benchmarking suites, and regression control setups. • Advance Distillation & Inference Optimization: Lead research initiatives on model distillation, quantization, context compression (e.g., gisting), and speculative decoding to optimize latency-cost trade-offs at platform scale. • Shape Agentic Platform Capabilities: Architect autonomous guiding agents and tool-use workflows, establishing foundational frameworks for multi-step reasoning, self-correction, and evaluation-driven feedback loops. • Technical Leadership & Mentorship: Elevate the engineering and research bar across the team through architectural design reviews, hands-on mentoring of Senior ML Researchers, and establishing best practices for reproducible ML R&D. • Cross-Functional & Community Influence: Partner with Product and Engineering directors to translate complex client challenges into scalable platform architecture; author high-impact research write-ups, blog posts, and external tech talks. What we're looking for • 6+ years in ML engineering or applied research, with 3+ years of proven track record leading LLM post-training, fine-tuning, or alignment initiatives at scale. • Deep theoretical and practical mastery of LLM alignment: SFT, LoRA/PEFT, RLHF/RLAIF (GRPO, DPO, PPO), reward modeling, and reasoning-oriented post-training. • Mastery of LLM Evaluation & Calibration: Proven …

About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia , and more. About the Position Toloka is looking for a Procurement & Budget Controller to own the end-to-end purchasing process and help keep company spending under control. The Procurement & Budget Controller will manage the full Purchase Order and vendor lifecycle in NetSuite, review expenses and contracts against budget and maintain the procurement policies and workflows that keep the process running smoothly. This role will also support month-end close by preparing accruals and reconciling purchasing-related transactions. What you’ll do Purchasing Operations • Manage the end-to-end Purchase Order (PO) lifecycle: PO creation, updates, Item Receipt processing, and reconciliation • Manage PO approval workflows • Manage vendor master data: Supplier creation, maintenance, and data validation in NetSuite; review and validate vendor banking details and financial master data • Coordinate supplier invoice processing and payments • Create and maintain items, GL accounts and other analytics in NetSuite • Develop and maintain internal process documentation and work instructions in Notion • Support audit and other finance-related ad-hoc requests • Work with business stakeholders and cross-functional teams to resolve operational issues and support smooth finance processes Budget Controlling • Control actual and planned spending against budget at the point of expense/contract approval, before sign-off • Analyze and maintain budget analytics (cost centers, categories, projects, etc.), ensuring spending is correctly classified and budget structures stay accurate and controllable • Implement and maintain cost controls, spend approval thresholds Procurement Process Management • Own and maintain the end-to-end procurement process (requisition approval PO receipt payment), defining clear steps, roles, and controls at each stage • Develop, update and maintain procurement policies and approval workflows; ensure they are followed and compliance requirements are met • Monitor process compliance, track deviations, and escalate where needed • Identify process gaps and inefficiencies and contribute to process improvements • Train and support internal stakeholders on procurement process, tools, and policy requirements Financial Reporting Support • Review and process Item Receipts at month-end, verifying that goods and services received during the reporting period, and preparing the related PO accruals for unbilled expenses • Prepare and validate monthly accruals for non-PO and project-related expenses • Support the monthly financial close, ensuring accurate recognition of expenses, accruals and project costs What we're Looking For • 5+ years of track record in finance roles • Deep expertise in Budget controlling & Procurement processes • Solid understanding of AP processes and month-end close (accruals, reconciliations) • Ability to thrive in a fast-paced startup environment • Working with NetSuite is a plus • Fluent English • Bachelor’s degree in Finance - or equivalent advanced degree • Big4 experience, ACMA/ FCMA/FCCA, is preferred [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: • Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. • Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. • Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not …

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. We are headquartered in Amsterdam. About the Position Toloka is growing rapidly, adding new platforms and infrastructure across multiple cloud environments. We are hiring a senior, hands-on security engineer to own infrastructure security and vulnerability management: Kubernetes and service-mesh security, cloud hardening, and vulnerability remediation. This is a senior, self-directed role. It requires the ability to define scope and drive execution independently, with ownership of core security tooling and processes from day one. What you'll actually do • Own vulnerability management. Operate and maintain the vulnerability-management platform. Ensure container images are scanned and patched on a defined cadence. Maintain supply-chain scanning tooling and its severity-classification configuration. Define and enforce remediation SLAs. • Own cloud security across multiple providers. AWS, GCP, and Azure hardening, logging, and service-account governance. • Own Kubernetes and service-mesh security. Operate the service mesh and maintain the policy-as-code rollout so that policy is enforced automatically. • Audit and secure infrastructure in newly added environments. Review build pipelines and infrastructure in newer parts of the business as they come online, and remediate findings. • Contribute to security architecture and design review. Review new integrations and internal systems, including AI agents running in production, for security risk. • Support workforce and endpoint security. Contribute to VDI and browser-isolation initiatives as the program matures. • Use agentic tooling in your workflow. Use coding agents for first-pass review of infrastructure-as-code, container configuration, and cloud policy, verifying findings against source configuration before acting on them. Key Priorities for the First 6 Months The first six months focus on establishing full ownership of infrastructure and vulnerability management. • Weeks 1–2 - Onboard to the cloud environment, Kubernetes architecture, and existing security tooling. • Month 1 - Establish ownership of the vulnerability-management process; findings triaged and remediated on a defined cadence. • Month 2 - Complete configuration of supply-chain scanning tooling; implement automated image scanning and patching; deploy initial policy-as-code rules. • Month 3 - Complete policy-as-code rollout in at least one environment; begin infrastructure audits in newly added environments. • Month 4 - Close outstanding cloud logging and service-account gaps; establish and enforce a documented multi-cloud hardening baseline. • Months 5–6 - Full ownership of infrastructure and cloud security as a domain; independently deliver security-architecture design reviews. Core Tech Stack Kubernetes and service mesh, policy-as-code tooling (Kyverno/OPA), Terraform, AWS/GCP/Azure, vulnerability-management and supply-chain scanning platforms, container tooling, CI/CD, and Git. Detections and access rules are managed as code through pull requests. Familiarity with coding/agentic tools for infrastructure review is expected. What We Evaluate • Production experience hardening cloud infrastructure - IAM, logging, service accounts, network security, on at least one major cloud provider (multi-cloud experience is a plus). • Kubernetes and container security - service mesh (Cilium, Istio, or similar) and policy-as-code (Kyverno, OPA, or similar). • Vulnerability-management experience - SCA/SAST tooling and SLA-driven remediation practice. • Fluency with coding agents - experience using agentic tools for infrastructure-as-code review or investigation work, and verifying their output. • Ability to work independently at a senior level - defining scope and priorities without detailed direction. • Clear written and verbal communication - able to run design reviews and communicate risk to engineers and leadership. Nice to Have, None Required Experience securing …

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership • Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. • Lead executive conversations using a structured, answer-first (BLUF) approach. • Manage escalations and expectations with composure and integrity. • Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis • Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. • Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) • Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. • Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. • Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership • Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. • Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. • Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. • Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, …

Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft , and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About the Role Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us. As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions. We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team. Responsibilities 1. Client Ownership & Communication • Act as the primary technical point of contact for customers across technical and executive stakeholders. • Lead discovery conversations to deeply understand client goals, problems and quality criteria. • Translate client needs into clear, actionable solution designs and delivery plans. • Advise customers on best practices in data collection, data quality, evaluation, and model training workflows. • Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently. • Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions. 2. Solution Design & Delivery • Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls. • Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation. • Run experiments and pilots to validate quality, throughput, and cost assumptions. • Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed. • Ensure solutions meet agreed quality, performance, and scalability requirements. 3. End-to-End Ownership & Project Management • Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency. • Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations. • Prioritize work based on customer impact and business value. • Analyze data to identify failure modes, inefficiencies, and opportunities for improvement. • Continuously optimize solutions through iteration, automation, and adoption of new technologies. • Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams. • Drive solutions toward stable operation with minimal ongoing maintenance. Requirements Core Experience • Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager. • Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management. • Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration). Technical Skills • Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask). • Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus. • Experience designing multi-stage pipelines and complex systems. • Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.. • Bachelor’s or Master’s degree in …