Freelance Technical Consultant (USA)

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

Job summary

Toloka AI is hiring for Technical Consultants to deliver tailored AI data solutions and serve as trusted technical advisors to customers. You will design data labeling pipelines, configure components, and run experiments to validate quality and cost.

You’ll work with Python, ML concepts, and modern tooling, communicating with both technical and executive stakeholders while collaborating with the commercial team.

Qualifications

• Experience owning projects end-to-end including scoping, delivery, and stakeholder management.
• Direct experience working with external customers on technical projects.
• Strong Python and ML/data science fundamentals.

Responsibilities

• Act as primary technical contact for customers and translate needs into designs.
• Design end-to-end data solutions on Toloka’s platform and oversee delivery.
• Monitor KPIs, manage risks, and drive iterative improvements with teams.

Skills

Python

NLP

LLMs

Prompt engineering

Data workflows

Multi-stage pipelines

Software fundamentals

Ownership mindset

English communication

Education

Bachelor’s or Master’s in Data Science/ML/AI or Software Engineering

Tools

FastAPI

Flask

NumPy

pandas

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.