Note: The job is a remote job and is open to candidates in USA. Toloka AI is a company that creates data powering leading GenAI models and innovations. They are seeking a Technical Consultant to ensure top-level delivery of their product, design and implement data labeling pipelines, and act as a trusted technical advisor for customers.
Responsibilities
- 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
- 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
- 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
Skills
- 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)
- 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
- 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
- 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
Company Overview