{"id":2834438,"url":"https://alion.io/job/toloka-ai-freelance-forward-deployed-ai-engineer-3","title":"Freelance Forward Deployed AI Engineer","company":{"id":48,"name":"Toloka AI","domain":"toloka.ai","url":"https://alion.io/company/toloka-ai","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"freelance","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","DE","FR","GB","AT","BE","BG","HR","CY","CZ","DK","FI","HU","IE","IT","NL","PL","RO","RS","ES","SE","EE","GR","LV","LT","LU","MT","PT","SK","SI"],"hiring_countries_total":30,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"DPO","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PEFT","optional":false},{"name":"PPO","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Reward Modeling","optional":false},{"name":"RLAIF","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Gmail","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-06-26T11:16:34Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-11-03T14:54:54Z","board_verified":true,"closed_at":null,"days_open":130,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":129},"description":"Company Intro\nAt 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.\nRecently, 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. \nAbout position\nThe 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.\nThis 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.\nBeyond 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.\nWhy this role is different\nEvery 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.\nThis 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.\nWhat you'll do\nExecutive partnership\nAct as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.\nLead executive conversations using a structured, answer-first (BLUF) approach.\nManage escalations and expectations with composure and integrity.\nBuild long-term trusted relationships by recommending evidence-based solutions.\nData strategy & needs diagnosis\nAsk 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.\nDraw 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\").\nSolution engineering & delivery (hands-on)\n 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.\nArchitect 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.\nProvide 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.\nCommercial ownership\nOwn 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.\nIdentify and drive expansion opportunities.\nAbout You\nNo 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.\n 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.\n Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions.\n Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions.\nSolid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus.\nExceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies.\n Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage.\nOwnership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success.\nNice to have\nHands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models).\nAdvanced degree (MSc/PhD) in AI, CS, or a related field.\nExperience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients.\nWhat we can offer\n Freelance (B2B) collaboration, with a path into a project team if things go well;\nFlexible, fully remote schedule (40 hours per week);\nWork at the leading edge of AI development, alongside a dedicated and dynamic team of experts;\nProjects with customers that are AI industry leaders and well-known household names;\nFriendly community.\n\n[Important Notice] Scam Alert Regarding Fake Job Postings\nIt 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:\nOfficial 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.\nOur Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.\nOfficial Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list\nTo learn how we collect, use, disclose, and store personal data, check out our Privacy Notice.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  and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it.\nThank you for your vigilance!\nTo learn how we collect, use, disclose, and store personal data, check out our Privacy Notice.","description_format":"text","description_chars":8472,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"United 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