Freelance Technical Consultant

Toloka; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Toloka is seeking a Technical Consultant to lead the design and delivery of data labeling pipelines and AI-driven data solutions for enterprise customers. You will serve as a trusted technical advisor, translating client needs into actionable designs and scalable implementations.

You will work closely with customers and Toloka’s commercial and engineering teams, applying your Python, ML, and data-workflow expertise to drive successful outcomes while advocating best practices in data quality and

Qualifications

• 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.

Responsibilities

• Act as the primary technical point of contact for customers across technical and executive stakeholders.
• Design end-to-end data solutions using Toloka’s platform and quality controls.
• Run experiments and pilots to validate quality, throughput, and cost assumptions.
• Lead technical execution during delivery, coordinating internal teams and external stakeholders.
• Drive solutions toward stable operation with minimal ongoing maintenance.

Skills

Python

NLP

Data pipelines

Multi-stage pipelines

Stakeholder management

Tools

NumPy

pandas

FastAPI

Flask

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..
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