Toloka
As of 1 November 2026, Toloka has 18 open roles (11 new in 30 days), its marketing & communications team is hiring most, and its postings name Python, Apple iPad and DeepSpeed as the tools the team works in.
As of 1 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- Wilmington, Delaware, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- ai teams, big tech companies, public tech companies
- Certifications on site
- HIPAA, ISO 27001, SOC 2
- Site languages
- EN
- Career system
- Greenhouse
Toloka in one screen
Read from toloka.ai: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Toloka is a data-solutions provider that builds training data, environments, and evaluation for AI agents and LLMs, integrating human expertise with technology. Its offerings include off-the-shelf datasets, multimodal conversations, the Tau-bench dataset extension, AI evaluation, and AI safety and red-teaming. It serves AI teams, big tech, and public tech companies.
Named on the site: ai teams, big tech companies, public tech companies, ai agents developers.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 589 scored.
What Toloka says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).• Deep theoretical and practical mastery of LLM alignment: SFT, LoRA/PEFT, RLHF/RLAIF (GRPO, DPO, PPO), reward modeling, and reasoning-oriented post-training.• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).• Develop and maintain internal process documentation and work instructions in Notion• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).• Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM).You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions.FastAPI, Flask).FastAPI, Flask).18 open roles, 13 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring marketing & communications in United States →
| open · new 30 d | |
|---|---|
| Marketing & communications | 4 · 4 |
| Product, program & project management | 4 · 3 |
| Software engineering | 3 · 0 |
| Data & AI | 1 · 1 |
| Finance & accounting | 1 · 1 |
| Sales | 1 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
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.Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board.Sales, marketing and IT leaders by function. Add Toloka to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Start free, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Toloka
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 589 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Toloka (Wilmington, United States, 51-200 employees) has 18 open roles, 11 new in 30 days, and names 14 tools in its postings. (Breaknorm, 1 November 2026, https://breaknorm.co/company/toloka.ai)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from toloka.ai: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Toloka: questions
Does Toloka use Python?
Yes, by the company's own words: 6 postings name it, first seen 2026-03-12, in the software engineering team.
Is Toloka hiring?
18 open roles as of 1 November 2026, 11 opened in the last 30 days and 1 closed. The largest team hiring is marketing & communications.
Where does this profile come from?
From toloka.ai itself: we crawled it on 2026-08-02, built the profile on 2026-08-15, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Toloka?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 1 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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