Toloka

Title: Freelance Technical Consultant (USA) Location: United States, Remote Job Description: 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, Israel, Czech Republic, 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 Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations. - Ability to reason about trade-offs between quality, speed, cost, and scalability. Communication & Ownership - Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences. - Confidence working with data engineers, ML engineers, and researchers from leading tech companies. - Strong ownership mindset: comfortable being accountable for outcomes, not just tasks. - Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have - Experience with crowdsourcing, expert workflows, or large-scale data labeling. - Experience working on ML training, evaluation, or agentic systems. - Familiarity with quality frameworks, audits, or data validation pipelines. [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!

Title: Associate Commercial Contracts Counsel Location: Europe, US Job Description: Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with 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. 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, Czech Republic, Serbia, and more. About this freelance role We’re looking for an Associate Commercial Contracts Counsel (Freelance/Contractor) to support our international legal team in a fast-moving, product-driven environment. The role combines primary legal support for procurement and vendor contracting, and ownership of contract lifecycle management (CLM) for all agreements in our contract management system, ensuring contracts are correctly intake/routed, executed, stored, searchable, and maintained through renewal. Key Responsibilities - Own contract lifecycle management (CLM) across all agreements in the contract management system (e.g., customer agreements, vendor agreements, NDAs, partnerships, amendments), ensuring contracts are properly intake/routed, approved, executed, stored, searchable, and maintained through renewal. - Drive contracts from intake to signature by aligning stakeholders, managing turnaround times, and ensuring correct approval routing and signature processes. - Maintain strong contract repository hygiene and reporting readiness by ensuring CLM records are accurate and complete (e.g., counterparty, contract type, business owner, status, term, renewal/notice dates, key risk fields). - Manage and track renewals and key dates (renewal and notice periods, auto-renewals, amendments), escalating upcoming actions to the appropriate legal and business owners. - Draft, review, and negotiate procurement and vendor-side agreements, including: - NDAs (mutual and unilateral) - Vendor/supplier agreements - SaaS / software procurement and licensing agreements - Professional services agreements and SOWs (consulting/agencies/contractors) - Amendments, renewals, and related pre-contract documentation - Issue-spot and escalate privacy, data protection, security, and IP risks in vendor and services engagements, including where contracts involve personal data, confidential information, model training data, data transfers, subprocessors, or access to Toloka systems; coordinate DPAs/security terms with relevant stakeholders. - Provide clear, practical advice on risk allocation and contract positions, including liability caps, indemnities, warranties, IP ownership/licensing, confidentiality, data security/privacy, audit rights, and termination. - Partner closely with procurement, product, and finance to move vendor engagements forward efficiently, supporting commercial alignment, timelines, and internal approvals. - Maintain and continuously improve templates, standard clauses, and negotiation playbooks; create and update templates and workflows within the CLM and maintain clause fallback language. - Track legal developments relevant to vendor contracting and operational risk (privacy, security, AI/data-related contracting), and update templates/playbooks accordingly. Key Qualifications - English: native-level or near-native professional fluency. - Law degree from a recognized university (LL.B., LL.M., JD, or equivalent). - Qualified to practice in the US, EU, or UK (or equivalent qualification), with 2+ years’ PQE (or equivalent hands-on commercial contracting experience), ideally in technology transactions and/or an in-house legal team. - Demonstrated experience drafting and negotiating commercial technology contracts, particularly procurement/vendor-side agreements (SaaS procurement, services/SOWs, licensing, NDAs). - Strong ability to proactively identify and address privacy, security, and IP issues arising from vendor relationships and data flows (including DPAs, confidentiality, data-use restrictions, subprocessors, cross-border transfers, and security controls). - Experience owning or strongly contributing to contract operations/CLM: intake and workflow management, template administration, metadata hygiene, renewal/notice tracking, and repository maintenance. - Strong foundation in EU/US/UK contracting principles and ability to apply them pragmatically in a business setting. - Strong communication skills with the ability to explain legal concepts in clear, business-friendly terms. - Highly organized, detail-oriented, and comfortable managing multiple priorities under tight timelines. - Bonus: experience with privacy/security contracting (e.g., GDPR concepts, DPAs, security addenda) and IP clauses in software and services agreements. Remote-first, working with a globally distributed team across multiple time zones.

• Define and execute the Physical AI data roadmap across egocentric capture, humanoid robotics, industrial/warehouse automation, and autonomous vehicles • Own the P&L of the emerging Physical AI business • Anticipate what frontier robotics labs and hardware companies will need 12–18 months before demand becomes mainstream — and build toward it • Ensure Physical AI methodologies feed back into the core QA platform • Own the operational lab: workforce, equipment, safety protocols, data capture workflows, output quality • Scale lab capacity against commercial commitments — managing a mix of employees and external partners • Establish QA standards for Physical AI data that integrate with the company's agentic LLM-QA verification system • Drive continuous improvement in collection efficiency, annotation quality, and simulation environment fidelity • Build and own the partner ecosystem: robotics hardware manufacturers, simulation platform providers, academic institutions, domain experts • Lead commercial relationships with Physical AI customers from scoping through delivery and expansion • Identify and close strategic partnerships that extend capabilities — hardware access, proprietary environments, domain datasets • Represent the company externally at industry forums and research conferences across Europe and the US • Hire, develop, and retain data engineers, robotics specialists, and project leads • Structure the function to scale for both bespoke engagements and productized delivery • Be the internal expert and evangelist for Physical AI — educate the wider org on what Wave 5 demands

Title: Senior Freelance Flutter Developer Location: Kazakhstan, Serbia, Armenia, Georgia Job Description: 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, Israel, Czech Republic, Serbia, and more. About position We are looking for a Senior Freelance Flutter Developer to help build the next generation of our mobile platform. Mobile is becoming a core part of how our ecosystem operates - from enabling real-time workflows in robotics-related projects (think: camera-assisted task execution on mobile devices) to powering large-scale user interactions and notifications. You will work on products used by thousands of new experts joining every month and help define how mobile devices can be used to collect, process, and validate real-world data. This is a high-ownership role where you will shape both the product and the technical foundation - from architecture decisions to shipping features that interact with cameras, media, and real-world environments. We are not looking for a task executor - we are looking for someone who can turn ambiguity into working systems. Key responsibilities - Define and drive the technical direction of the mobile platform across iOS and Android - Design and ship scalable, production-grade mobile applications used by tens of thousands of users weekly - Build advanced mobile features involving camera, video, audio, and sensor data - Develop solutions for real-world task execution and data collection on mobile devices - Support non-standard device usage scenarios and edge cases - Own the end-to-end delivery lifecycle: - - from idea and prototyping to production and iteration - releases to App Store and Google Play - reliability of critical user flows at scale - Improve performance, stability, and user experience across the mobile stack - Make pragmatic decisions between Flutter and native Android (Java/Kotlin) - Work with hybrid architectures (e.g. WebView-based interfaces) - Operate effectively in ambiguous environments - Turn loosely defined problems into shipped, working solutions - Proactively identify gaps and drive improvements - Qualifications - Strong experience with Android development (Java/Kotlin) and Flutter - Solid understanding of mobile architecture and design patterns - Hands-on experience with Flutter state management, networking, and API integration - Experience building and maintaining production-grade apps for Google Play and Apple App Store - Deep understanding of mobile performance optimization, multithreading, and async programming - Experience working with Android services, lifecycle, and background execution - Familiarity with hybrid approaches (e.g. WebView integrations) - Ability to work independently with ambiguous or loosely defined requirements - Strong ownership mindset and ability to drive solutions end-to-end - Understanding of product development workflows and cross-team collaboration - Good written and spoken English (B2 or higher) - must-have for daily communication - What we can offer - Freelance collaboration via the Ontop freelance platform. - Flexible, fully remote work schedule. - You’ll have the opportunity to work on highly innovative projects at the leading edge of AI development, together with a genuinely dedicated and dynamic team of experts. - You’ll also be working on projects with customers that are AI industry leaders and well-known household names. - Friendly community. - [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!

• Identify significant near and long-term opportunities and define product strategies and roadmaps. • Lead the end-to-end product lifecycle management, from ideation and requirements gathering to development, launch, and optimization. • Define and analyze metrics that inform the success/failure. Monitor and analyze product performance, leveraging data analytics and user feedback to optimise current value proposition and drive continual improvement and innovation. • Drive product development with cross-functional team of engineering, design, analytics, and marketing teams to deliver measurable business impact. • Design and own the end-to-end funnel: from marketing to onboarding, activation, first and recurring payments.

• Take ultimate ownership for AI program strategy, roadmaps, and success metrics, ensuring they are fully aligned with business goals and senior leadership expectations; • Lead end-to-end delivery of multiple complex AI initiatives (LLM-powered products, automation, analytics), ensuring all projects meet scope, budget, and quality standards; • Translate ambiguous business problems into clear technical workstreams and architectures, collaborating directly with data scientists, ML engineers, and software engineers; • Establish and own program governance, including operating rhythms, steering committees, risk/issue management, and high-level executive communications; • Drive solution design reviews and provide technical oversight, challenging approaches where needed to ensure the robustness, scalability, and security of AI solutions; • Embed responsible and ethical AI practices into program design, focusing on data privacy, bias mitigation, model monitoring, and human-in-the-loop workflows; • Manage vendor and partner relationships (cloud, model providers, integrators), including technical evaluations, contracts input, and performance management; • Lead and mentor cross-functional teams (PMs, tech leads, data scientists), fostering a high-performance delivery culture and driving continuous process improvement.

• Own and scale execution of complex AI data projects across a major client portfolio or service vertical • Ensure every delivery exceeds client expectations on quality while hitting timeline and gross margin targets • Manage gross margin targets across project portfolios, optimizing delivery efficiency and resource allocation • Partner closely with Business Development to scope new opportunities and structure project proposals • Direct delivery teams and project managers, stepping in as hands-on DPM when needed • Drive continuous improvement in delivery processes and develop new approaches to enhance execution quality • Manage client relationships during project execution, ensuring smooth communication and addressing delivery challenges

• Partner closely with Head of Product to drive strategic product development • Lead end-to-end product development: backend, frontend, AI agents • Be deeply hands-on into development, research and implement quick MVPs on their own • Deeply understand and evolve architecture, find proper balance between new features and infrastructural tasks • Refine requirements of big projects, allocate development resources • Constantly invest into speed of the team, maintain frequent product updates • Grow, lead and mentor an engineering team (people management)