Your brain + AI = a powerful team
Your brain + AI = a powerful team
Join Tendem project to help AI complete real tasks
and get paid for your insight
Join Tendem project to help AI complete real tasks
and get paid for your insight
Why join
Real tasks done
You contribute to outcomes that matter — not repetitive annotation tasks
Human + AI collaboration
The AI handles routine steps; you handle nuance, logic, and sound judgment
Flexible and remote
Contribute from anywhere, on your own schedule, and choose tasks as you go
Who it’s for?
Who it’s for?
Curious, detail-oriented people who love solving puzzles. No AI background needed — logic, focus, and accuracy matter most.
Curious, detail-oriented people who love solving puzzles. No AI background needed — logic, focus, and accuracy matter most.
What you might do
What you might do
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Fact-checking and verification
Confirm whether the AI’s statements are accurate
Example: Review the model’s claim that Company Y increased its revenue by more than 20% between 2018 and 2022 and verify it using reliable sources.
Data filtering and analysis
Check how the model organized or interpreted data
Example: Evaluate the model’s list of companies founded before 2000 with annual revenue above $50 million, confirming it meets the given criteria.
Limited-access research
Assess the AI’s reasoning when official data is missing
Example: Review the model’s estimate of EcoProducts’ market share and note whether the logic and assumptions are sound.
Estimates and hypotheticals
Judge the plausibility of the models’s projections and assumptions
Example: Evaluate the AI’s revenue estimate for a meal-delivery app targeting college students and suggest how to improve its reasoning.
Large-scale datasets
Check how the model processes and interprets big data
Example: Inspect the AI’s analysis of a 2-million-record e-commerce dataset to ensure its identified buying trends are valid and clearly explained
AI collaboration and reasoning review
Refine and clarify the model’s thinking
Example: Review the AI’s explanation of a financial forecast to confirm its logic, consistency, and completeness.
Current opportunities
How it works
What our experts say
What our experts say
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
Saloni
Research Editor
Being part of Tendem from its early stages feels like witnessing history in the making. It’s where curiosity, learning, and technology come together.
Aini
Web Developer
Tendem is more than just a side project — it’s a global, supportive community where growth matters more than perfection.
Clyne
Full-Stack Developer
Every task challenges me to think differently, refine my code, and collaborate with AI in real, practical ways.
Lucky
Writer and researcher
“I love the researching aspect — every day I explore new topics outside my field, and it’s genuinely exciting.”
Ishan
Growth Marketing & Data Analytics
“Tendem gives me the flexibility to grow across domains while contributing to the AI revolution.”
© 2026 Toloka AI BV
© 2026 Toloka AI BV