Toloka operates a crowdsourced data labeling and annotation platform serving AI labs and enterprises. The stack is lean (Python, Java, JavaScript, RAG) and the hiring shape reveals a company in transition: marketing and engineering lead the active roles, with notable gaps in dedicated sales infrastructure despite taking on product director and sales director roles. Active projects around LLM products, SFT data generation, and evaluation pipelines indicate a shift from pure annotation toward higher-value AI training workflows, though pain points around validating core value proposition and scaling complex projects suggest product-market clarity remains a work in progress.
Tech Stack 14 technologies
What Toloka Is Building
◆Challenges
- Validating core value proposition
- Meeting gross margin targets
- Building sourcing functions from the ground up
- Compliance with serbian labour law
- Scaling product
- Building flexible on-demand tech teams
- Ensuring project delivery quality
- Scaling complex ai data projects
- Demonstrating core value
- Optimizing delivery efficiency
▲Active Projects
- Building sourcing functions from the ground up
- Tendem ai
- Overall marketing strategy across mindrift, tendem and toloka platform
- Llm-powered products
- Analytics
- Sft data generation pipeline
- Evaluation pipeline
- Red-teaming project
- Coherent strategy across products with different go-to-market motions
- Product strategy and roadmap development
Hiring Activity
Department
Seniority
Notable leadership hires: Product Director, Director of Sales, Sales Director, Technical Lead, Program Director
