Jobs at Toloka

Leads day-to-day operations for a global freelance workforce supporting AI data projects. Responsibilities include identifying expert profiles, recruiting and reactivating contributors, designing onboarding pipelines, monitoring quality and performance, resolving delivery issues, replacing underperforming contributors, and coordinating with project, engineering, acquisition, quality, and analytics teams. When needed, the manager also owns capacity planning, delivery forecasting, workforce risk management, and cost tracking.

Lead day-to-day workforce operations for a global team of freelance AI tutors, subject matter experts, writers, and editors. Responsibilities include identifying expert profiles, managing onboarding, monitoring quality and performance, replacing inactive or fraudulent contributors, coordinating with technical teams, and resolving delivery issues. When needed, own capacity planning, forecasting, delivery plans, workforce risk, and cost tracking across fast-moving projects.

Source proprietary company data and domain expertise for frontier AI labs, manage outreach and enterprise relationships, negotiate data-sourcing agreements, and coordinate with internal data and product teams to deliver structured, training-ready datasets. Build and prioritize a pipeline of prospective data sources and enterprise partners.

Design and deliver end-to-end data labeling and ML pipelines using Toloka's platform. Act as primary technical contact for clients, lead discovery and solution design, run pilots, monitor KPIs, troubleshoot delivery, and optimize quality, cost, and scalability while coordinating internal teams and stakeholders.

Lead end-to-end execution and scaling of Physical AI data collection programs (egocentric/exocentric video, teleoperation, multisensory). Manage global operations, contributors, and cross-functional teams to meet quality, throughput, cost, and timeline targets while building client relationships and improving processes from pilot to production.

Own end-to-end product design for Tendem or Self-Service: craft workflows for task scoping, quoting, HITL review, onboarding, and results delivery; run UX research and usability tests; translate regulatory constraints (EU AI Act, GDPR) into designs; evolve the design system; collaborate with PMs, engineers, researchers, legal, and analytics to validate solutions.

Lead delivery of AI data projects end-to-end: manage cross-functional teams, ensure data quality and timelines, communicate with clients, drive process improvements, and maintain project transparency and unit economics for large-scale LLM data pipelines.

Serve as a senior client-facing technical lead who designs and builds data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders to diagnose needs, propose data strategies, architect multi-stage automated pipelines (including RAG, synthetic data, agentic systems), deliver solutions end-to-end, and own commercial outcomes and expansion opportunities.

Serve as the senior client-facing technical lead to design and build data-generation, labeling, and evaluation pipelines for LLMs. Partner with executive stakeholders, diagnose data needs, architect multi-stage automated solutions (RAG, agentic workflows, synthetic data), run experiments, deliver production-ready pipelines, mentor engineers, and own delivery timelines and commercial outcomes.

Design and deliver end-to-end data labeling and AI training pipelines, act as technical point of contact for clients, run pilots, ensure quality and scalability, monitor KPIs, and manage delivery outcomes and stakeholder communication.

Design and deliver end-to-end data labeling and ML pipelines on Toloka's platform. Serve as primary technical contact, run pilots, configure workflows and quality controls, monitor KPIs, troubleshoot delivery, and advise customers on data, evaluation, and model-training best practices.

Lead end-to-end delivery and operational excellence of multiple complex AI/data programs. Define program strategy, roadmaps, governance, technical oversight, vendor management, and embed responsible AI practices while mentoring cross-functional teams and ensuring quality, timelines, and margins.

Provide commercial contracting support for procurement and vendor agreements, own contract lifecycle management in the CLM, draft/negotiate NDAs, SaaS and services agreements, manage renewals and metadata hygiene, escalate privacy/security/IP risks, and maintain templates and playbooks while partnering with procurement, product, and finance.

Design, configure, and maintain data-labeling pipelines using Toloka and Python. Engage clients to define requirements, support presales and delivery, run experiments, monitor solution performance, troubleshoot issues, and optimize pipelines for ML/LLM training.

Design and deliver end-to-end data labeling and ML data pipelines using Toloka's platform. Act as primary technical contact for customers, lead discovery and solution design, configure tooling (including agentic systems and RAGs), run pilots, monitor KPIs, troubleshoot delivery, and optimize for quality, cost, and scalability while coordinating cross-functional teams.

Own and scale delivery of complex AI data programs (LLM/ML products), ensuring scope, quality, timeline, and margin targets. Translate ambiguous problems into technical workstreams, establish governance, drive solution reviews, embed responsible AI practices, manage vendors, and lead cross-functional teams while partnering with BD and executive stakeholders.

Design, train, fine-tune, distill, and deploy LLM-based and agentic ML models. Build and operate agent workflows in Python, run evaluation and benchmarking, select models and cost strategies, and manage production monitoring and observability for model performance and reliability.

Lead budgeting, forecasting, cashflow and capacity modelling; deliver variance and scenario analysis; maintain unit economics and project performance analytics; build dashboards and reporting packs; support board and investor reporting; drive automation and FP&A tool selection.