Freelance Technical Consultant (LatAm)
Freelance technical consultant (LATAM) for Toloka AI who designs, configures, and delivers data-labeling pipelines and AI data solutions for clients end to end, acting as their trusted technical advisor. Core stack is Python (NumPy/pandas, NLP, FastAPI/Flask) with ML, LLM, and data-quality workflows.
- Compensation
- Not disclosed
- Location
- Latin America
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 3+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 3+ years of solid technical background
- 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 (NumPy, pandas), NLP (NLTK, spaCy), and building lightweight web services (FastAPI, Flask)
- Solid understanding of ML concepts and data workflows
- Experience designing multi-stage pipelines and complex systems
- Understanding of software development fundamentals: version control, testing, MVPs, iterative development
- Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related quantitative field (e.g. Physics, Applied Mathematics)
- Ability to reason about trade-offs between quality, speed, cost, and scalability
- Excellent English communication skills (B2+), able 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: accountable for outcomes, not just tasks
- Ability to manage multiple projects in fast-paced, ambiguous environments
Nice to have
- Familiarity with LLMs and prompt engineering
- 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
Full 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 over100 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 RoleTechnical 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.