BraintrustDomain experts
Gemini Education Data Annotator - AI Training
$20/hr
About this role, in Braintrust's words
Help improve AI systems by reviewing and annotating education-focused content and conversations from the Gemini App. This remote freelance project is designed for students, recent graduates, and experienced contributors who already use Gemini for genuine learning or academic work.
What you'll do
- Analyze complex content, research questions, datasets, and logical problems.
- Verify claims using reliable online sources and summarize information clearly.
- Evaluate AI-generated responses, identify issues, and provide accurate corrections with concise explanations.
- Create analytical annotations and scenarios that help improve large language model quality.
Candidate background
Requirements
- An established Gemini App account with at least 10 genuine conversations about education, learning, academics, exam preparation, research, projects, or skill development. The account must already exist and have been used naturally before this project.
- Fluency in U.S. English, with strong reading, writing, comprehension, and communication skills.
- Strong research, analysis, logical reasoning, problem-solving, and response-evaluation ability.
- Ability to provide clear feedback and work independently in a remote environment.
- Students and freshers are welcome to apply.
Quoted from selected sections of Braintrust's posting. The full posting may state other conditions. Read the full posting
A closer look
More context, when you need it.
Full job descriptionThe original posting, in Braintrust's words
Posted by Braintrust, reproduced here so you can judge the role before clicking. Original posting ↗
Help improve AI systems by reviewing and annotating education-focused content and conversations from the Gemini App. This remote freelance project is designed for students, recent graduates, and experienced contributors who already use Gemini for genuine learning or academic work.
What You’ll Do
• Analyze complex content, research questions, datasets, and logical problems.
• Verify claims using reliable online sources and summarize information clearly.
• Evaluate AI-generated responses, identify issues, and provide accurate corrections with concise explanations.
• Create analytical annotations and scenarios that help improve large language model quality.
Requirements
• An established Gemini App account with at least 10 genuine conversations about education, learning, academics, exam preparation, research, projects, or skill development. The account must already exist and have been used naturally before this project.
• Fluency in U.S. English, with strong reading, writing, comprehension, and communication skills.
• Strong research, analysis, logical reasoning, problem-solving, and response-evaluation ability.
• Ability to provide clear feedback and work independently in a remote environment.
• Students and freshers are welcome to apply.
Preferred Background
• Study or experience in engineering, literature, journalism, communications, arts, statistics, research, writing, editing, translation, or a related analytical field.
• Familiarity with spreadsheets, Google Workspace, basic arithmetic, and AI-assisted research tools.
Engagement Details
• Remote freelance AI-training and data-annotation project.
• Expected project duration of approximately 16 weeks.
• Full-time availability is required. Project volume may vary, and workload is not guaranteed.
• United States only.
Compensation
$20 USD per hour.
Candidates who submit the required JSON file and are hired will receive a one-time $50 payment.
Working with BraintrustPay, getting started and work, from Braintrust's own pages
What the platform publishes in general. These are not extra terms confirmed for this particular role.
- Getting paid
- Through a processor such as Stripe or Wise. On hourly contracts you invoice through Braintrust and payment starts within 30 days, or later if the client has not paid. Its AI training page says gig tasks are paid weekly. usebraintrust.com/site-service-fees-terms, usebraintrust.com/ai-training
- Before your first paid task
- A profile and a short AI interview, usually under an hour, then ID verification and skills validation. Certification takes 1 to 2 days, and matching starts after it. usebraintrust.com/for-talent
- How much work
- No guaranteed minimum or regular pay. Its terms say Braintrust does not introduce talent to clients or find projects for them. usebraintrust.com/talent-terms, usebraintrust.com/terms
- Contract
- Independent contractor. Each project is a contract directly between you and the client, under terms with Freelance Labs, Inc. usebraintrust.com/talent-terms, usebraintrust.com/terms
Read on the pages linked above on 23 Sep 2026. Platforms change these terms, so check the linked page before you rely on one.
How does the pay compare?Across Domain experts roles, not this role alone
From our own daily reads of every open listing on the platforms we follow, not from Braintrust's posting. How we count.
Pay across the field: Domain experts
Across 692 roles in this field with a stated hourly rate in US dollars, on 18 platforms, the middle half pays $65 to $130 an hour at the top of the range, and the median is $100. This role's top rate, $20, is in the bottom quarter. Of the 258 distinct rates we count, 2 are lower and 253 are higher.
| Platform | Roles | Top of range, per hour |
|---|---|---|
| Alignerr | 149 | $24 to $200 · median $80 |
| micro1 | 130 | $28 to $400 · median $110 |
| AfterQuery | 88 | $45 to $175 · median $100 |
| Handshake AI | 79 | $30 to $300 · median $85 |
| Mercor | 78 | $55 to $450 · median $120 |
Sources and listing historyWhere this information comes from
This listing's history
- First seen here on 13 Sep 2026, and still on Braintrust's list when we last read it on 13 Oct 2026.
- The listed pay has not changed since then.
- Posted by Braintrust
- First seen by AIPayList
- Last seen live
- Listing ID
- 17805
Pay as the source states it: “USD 20 hourly”.
Platforms sometimes change a rate after posting. Every listing here is re-read at least once a day and corrected when its source moves, so a difference you see on the platform is usually a change made since the last read. How freshness works.
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