Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Jobs
Financials
Funding and backers
Total raised
$72M
1 round on record
Latest round
$72M
Series A · 2025 · 15 mo ago
Team
51-200
employees, estimated range
Hiring now
14
+8 posted in 30 days
The money's age
Due for its next round
15 months since the last round · and hiring
Momentum
38/100
hiring for its size, in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
2025
Raised a round Series A $72M
2014
Founded
Tractionpublic signals, read monthly
Web presence
top 0.02%
of 133.2M domains by links, Common Crawl
Hacker News stories
2
best: 23 points
Funding rounds
| Round | Date | Amount | Investors | Source |
|---|---|---|---|---|
| Series A | 2025 | $72M | — |
Founders and leadersfrom filings, registers and the company's site
Olga MegorskayaFounder & Chief Executive Officer
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How Toloka AI hires
Truth index
A 89/100
Median time to fill
37 days
Ghost roles
0%
Stale roles
43%
Reposted roles
0%
Toloka AI scores A on the Alion truth index (A is best, E worst), measured over 7 open roles re-checked against its own hiring board: 0% look like ghost listings, 43% have gone stale and 0% are the same role posted again. Its roles close in a median of 37 days. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
Overview
Toloka is a data company founded in 2014 and headquartered in Amsterdam that supplies human-generated training, fine-tuning and evaluation data for artificial intelligence systems. It began as a large-scale crowdsourcing platform and has repositioned around expert work, combining domain specialists, machine learning tooling and quality control pipelines to produce reasoning traces, preference rankings and agentic task data. Operating within the Nebius group and backed by Bezos Expeditions since 2025, the company serves frontier model laboratories and enterprises building their own systems.
News
Report
GPT-5.6 got smarter. Then it kept acting.
From agentic skills to coding and AI safety - we build data solutions integrating human expertise and technology to accelerate AI development.
Read more
Report
How Virtual Testing Environments Are Unlocking Enterprise AI Agent Adoption
Using realistic testing environments enables organizations to build the confidence needed to deploy agents safely and effectively.
Read more
Report
How Better Data Annotation Improves AI Model Performance
Better data annotation-more accurate, detailed or contextually rich-can drastically improve an AI system's performance, adaptability and fairness.
Read more
Report
3 Breakthrough Ways Data Is Powering The AI Reasoning Revolution
By building stronger reasoning skills in AI systems, new approaches to data for training and testing will open a door to the widespread adoption of AI agents.
Read more
Report
Testing The Limits: Three Ways AI Benchmarks Are Evolving
When it comes to real-world evaluation, appropriate benchmarks need to be carefully selected to match the context of AI applications.
Read more
Report
From Generalist To Specialist: The Role Of SFT In LLM Evolution
While supervised fine-tuning is allowing LLMs to succeed in narrow contexts, it requires high-quality, domain-specific datasets to truly make an impact.
Read more
Report
AI And Us: The Role Of Human Preference In Model Alignment
When we rally behind responsible AI, we have the potential to energize AI safety efforts across the industry.
Read more
Report
Tech In 2025: Industry Leaders Detail Their Top Challenges
As they look to 2025, tech leaders see a continued focus on the optimal and ethical use of artificial intelligence, but AI is far from the only topic of conversation.
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Report
Show more news
Tech stack
Technologies named in job postings at Toloka AI over the last 12 months, by layer, with the share of postings for each.
Technologies in use
84
Postings analysed
30
Stack modernity
85/100AI adopter
Languages
Python43%
Java7%
SQL3%
JavaScript3%
Frameworks & libraries
NumPy23%
FastAPI17%
Flask13%
NLTK13%
Databases
PostgreSQL3%
Redis3%
Cloud & platforms
Anthropic100%
Figma7%
vLLM7%
AWS3%
AI & ML
LLM23%
LoRA13%
PEFT13%
Claude10%
Sign in to see how your skills match this stack
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Full Toloka AI tech stack
84 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$180k
Typical range
$180k
Open positions
1
1
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 1 | $180k | $180k |
Highest paying role
Product Marketing Manager
$180k
Normalized to USD per year
Products
Crowd
Toloka Crowd is the global contributor network that carries out annotation, collection and validation tasks. It gives clients coverage across many languages and regions.
toloka.ai
Agentic Data
Agentic Data produces multi-step task demonstrations and tool-use traces for training autonomous agents. It captures how experts actually solve problems rather than just final answers.
toloka.ai
Evaluation
The evaluation service builds human benchmarks and red-teaming exercises for language and multimodal models. Results give laboratories an independent read on capability and safety.
toloka.ai
Deep Expertise
Deep Expertise supplies data produced by vetted professionals in fields such as medicine, law, finance and software engineering. It is used where generic crowd labelling cannot reach the required accuracy.
toloka.ai
Data Platform
The Toloka platform orchestrates large annotation and data generation projects across a distributed workforce. It handles task design, routing, quality scoring and payment in one system.
toloka.ai
People
Olga Megorskaya
Founder & Chief Executive Officer
Olga Megorskaya founded Toloka in 2014 and leads it as chief executive. She built the platform from an internal crowdsourcing tool into an independent AI data company.
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
80/100
Scaling fast
Open positions
14
10 opened / 9 closed in 30 days
Median time-to-fill
37 days
faster than 34% of the market
ATS activity
Every ~3 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
32% ▼
Marketing
14% ▲
Leadership
9% ▲
Finance
9% ▼
HR
9% ▼
Data Science
5% ▼
Actively hiring for AI/ML (+3 in 30 days)
Activity Timeline
Added TensorRT to stack
Oct 2026
Added TensorRT-LLM to stack
Oct 2026
Added Speculative Decoding to stack
Oct 2026
Added Platform Engineering to stack
Oct 2026
Added Megatron-LM to stack
Oct 2026
Added FSDP to stack
Oct 2026
Added DeepSpeed to stack
Oct 2026
Added YouTube to stack
Sep 2026
Added X (Twitter) to stack
Sep 2026
Added Reddit to stack
Sep 2026
Added Canva to stack
Sep 2026
Added Linux to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
1
Countries
2
Busiest office
New York
Loading the map
Headquarters
Builds here
Office with open vacancies
No open vacancies right now Tap a pin for the office
Amsterdam
Netherlands
HQ
New York
United States
Contractors
1 open roles 1 posted in 90 days 100% engineering 100% remote 50-200 est. staff
hires for AI/ML
Jobs
≈ $44k – $119k per year (Estimated) • Remote (LATAM, United States, United Kingdom, Czech Republic, Israel) • Freelance • 3+ years exp • Bachelor's Degree
Python
Flask
FastAPI
AI/ML
Prompt Engineering
AI Agents
spaCy
NumPy
NLTK
Synthetic Data
Anthropic
Management
Gmail
Apply
Remote (Serbia) • 6+ years exp
Python
DeepSpeed
LoRA
vLLM
Fine-tuning
RLHF
Quantization
Knowledge Distillation
AI Agents
TensorRT
PEFT
TensorRT-LLM
Transformers
PyTorch
LLM
Anthropic
DPO
SFT
PPO
GRPO
Post-training
Megatron-LM
FSDP
LLM Evaluation
Speculative Decoding
Tool Use
Model Distillation
RLAIF
Reward Modeling
DevOps
Platform Engineering
Management
Gmail
Apply
≈ $170k – $307k per year (Estimated) • Remote (Serbia) • United States
Fine-tuning
Anthropic
Machine Learning
Management
Gmail
Apply
Remote (Serbia)
Fine-tuning
Anthropic
Machine Learning
Management
Gmail
Apply
≈ $22k – $50k per year (Estimated) • Remote (United States, United Kingdom, Kazakhstan, Netherlands, Serbia) • Freelance • Kazakhstan
AI Agents
Anthropic
DevOps
Terraform
GCP
Cilium
Istio
Azure
CI/CD
Git
AWS
Kubernetes
Service Mesh
SLI/SLO/SLA
IAM
Cybersecurity
SBOM
Kyverno
Management
Gmail
Apply
Remote (EU, United States, United Kingdom, Serbia) • Freelance • 3+ years exp • Bachelor's Degree
Python
Flask
FastAPI
AI/ML
Prompt Engineering
AI Agents
spaCy
NumPy
NLTK
Synthetic Data
Anthropic
Management
Gmail
Apply
≈ $87k – $177k per year (Estimated) • Remote (United States, United Kingdom, Netherlands, Serbia) • Freelance • 3+ years exp • Bachelor's Degree • United States
Python
Flask
FastAPI
AI/ML
Prompt Engineering
AI Agents
spaCy
NumPy
NLTK
Synthetic Data
Anthropic
Management
Gmail
Apply
≈ $138k – $302k per year (Estimated) • Remote (United States, United Kingdom, Netherlands, Serbia) • Freelance • Master's Degree • United States
Python
LoRA
Fine-tuning
RLHF
AI Agents
PEFT
Transformers
Pandas
NumPy
LLM
RAG
Synthetic Data
Anthropic
DPO
SFT
PPO
Agentic Workflows
RLAIF
Reward Modeling
Management
Gmail
Apply
Remote (EU, United States, United Kingdom, Serbia) • Freelance • Master's Degree
Python
LoRA
Fine-tuning
RLHF
AI Agents
PEFT
Transformers
Pandas
NumPy
LLM
RAG
Synthetic Data
Anthropic
DPO
SFT
PPO
Agentic Workflows
RLAIF
Reward Modeling
Management
Gmail
Apply
Financials
Total raised
$72M
Latest round
Series A
Funding rounds
1
Investors
3
Funding rounds
| Round | Announced | Amount |
|---|---|---|
| Series A | 2025 | $72M |
Key Investors
Mikhail Parakhin
Mikhail Parakhin joined Toloka's 2025 round as a strategic individual investor. He previously led Microsoft's advertising and web services division.
nebius.com
Nebius Group
Nebius Group is Toloka's majority shareholder and its AI infrastructure partner. The listed company builds cloud platforms for machine learning workloads.
nebius.com
Bezos Expeditions
Bezos Expeditions led Toloka's 2025 financing round. The vehicle invests Jeff Bezos' personal capital across technology and science companies.
bezosexpeditions.com