Jobs at Toloka

Own product positioning, messaging, ICP definition, go-to-market strategy, competitive intelligence, customer proof, sales enablement, and thought leadership for Toloka’s enterprise AI data solutions and self-service platform. Translate complex AI and machine learning capabilities into differentiated customer value while influencing product, packaging, launches, and market strategy.

Lead Toloka’s technical vision and architecture for LLM post-training, reinforcement learning, evaluation, inference optimization, and agentic capabilities. Design scalable GRPO, PPO, DPO, reward modeling, RLAIF, and automated evaluation systems. Mentor senior researchers and engineers, guide cross-functional platform strategy, improve production reliability and cost efficiency, and represent the company through research publications, technical talks, and community engagement.

Lead cross-functional AI data delivery projects from planning through implementation and adoption. Own project quality, timelines, economics, communications, risk resolution, and stakeholder transparency. Coordinate engineers, supply managers, clients, and other teams while managing project operations, status updates, retrospectives, and process improvements. The role involves client-facing delivery of data generation, evaluation, and red-teaming projects supporting large language model development and safety.

Own Toloka’s global organic social media strategy across LinkedIn, X, Reddit, and YouTube. Manage executive thought leadership, write technical social copy, engage developer communities, create design briefs and multimedia assets, collaborate on content promotion, and analyze performance to optimize messaging. The role requires strong understanding of AI concepts, exceptional copywriting, executive social media experience, and hands-on skills with visual and video tools.

Owns end-to-end delivery of enterprise fine-tuning engagements, including client discovery, use-case prioritization, ROI, scope, timelines, model hosting, SLAs, security reviews, and stakeholder management. Partners with sales, product, engineering, and machine learning teams; navigates enterprise procurement and IT processes; translates between technical buyers and internal teams; and develops repeatable processes and playbooks to scale the practice.

Own and scale enterprise fine-tuning engagements from discovery through delivery. Lead client stakeholder management, use-case prioritization, ROI analysis, scoping, timelines, SLAs, model hosting, security reviews, and enterprise procurement processes. Translate between technical buyers and internal machine learning teams, support sales opportunities, and build repeatable processes and playbooks. The role requires hands-on program execution, consulting expertise, enterprise IT fluency, and practical understanding of LLM fine-tuning.

Owns end-to-end procurement and purchase order processes, including vendor management, approvals, invoice coordination, budget controls, and compliance. Maintains NetSuite purchasing data and workflows, validates spending against budgets, prepares accruals, reconciles transactions, and supports month-end close. The role also develops procurement policies, documents processes, resolves operational issues, supports audits, and trains stakeholders in a fast-paced startup environment.

Own product positioning, messaging, segmentation, go-to-market strategy, competitive intelligence, customer proof, sales enablement, and thought leadership for Toloka’s enterprise AI data solutions and self-service platform. Translate complex AI and machine learning capabilities into differentiated customer value while partnering with product, sales, marketing, and customers.

Lead client AI data projects from implementation through delivery, owning quality, timelines, unit economics, stakeholder transparency, and team coordination. Manage virtual cross-functional teams of engineers, supply managers, and other specialists; oversee communications, planning, status reporting, retrospectives, risk resolution, and process improvements. Projects include supervised fine-tuning data generation, LLM evaluation, and red-teaming initiatives.

Own Toloka’s end-to-end LLM fine-tuning, reinforcement learning, evaluation, and serving stack. Build SFT, LoRA, distillation, reward modeling, GRPO, and LLM-as-judge systems; develop calibrated evaluation harnesses; improve agentic workflows; run client experiments; and convert research into scalable self-serve platform capabilities. Collaborate with platform engineers on SDK and API integrations while balancing technical feasibility with product and client needs.

Own the launch and growth of Toloka’s real-business data partnership function. Source partners through outbound prospecting, pitch data licensing opportunities, negotiate and close pilots and ongoing collection agreements, and coordinate execution with legal, finance, sales, delivery, and partnerships teams. Build repeatable sourcing and partner-management processes while managing deals with businesses, data providers, and aggregators across global markets.

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.

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 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.

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.

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.