Business Analyst - US - Educational Raters - Gemini
- Salary
- $30 per hour
- Level
- Junior
- Work type
- Remote · US only
Not stated in the posting: visa.
Open. First seen 19 October 2026.
About the role
This role is for one of our clients
Role Details
- Employment Type: Contract
- Location: United States, excluding Texas, Illinois, California, Connecticut, Massachusetts, New Jersey, and Vermont
- Engagement Duration: 16 weeks
- Start Date: Immediate
- Experience Required: 1+ year of relevant experience
- Work Commitment: Full-time availability, with at least 4 hours of daily overlap with Pacific Standard Time (PST)
- Compensation: $30 per hour, plus a one-time $50 payment for submitting the required JSON file if hired
- Contract Benefits: No medical benefits or paid leave
About the Role
We are seeking detail-oriented and analytically strong Business Analysts – Educational Raters to support the evaluation and improvement of advanced AI systems. This role focuses on analyzing educational conversations, assessing AI-generated responses, validating information, and creating high-quality feedback to improve the accuracy, relevance, and usefulness of AI models.
Candidates should have strong research, critical-thinking, logical reasoning, and written communication skills, along with fluency in U.S. English. Recent graduates and individuals currently pursuing a degree are encouraged to apply.
Applicants must have an active, previously established Gemini App account containing genuine conversation history, particularly conversations related to education, learning, academic research, exam preparation, projects, or skill development. The account must not have been created solely for participation in this project.
Requirements
Key Responsibilities
- Content Analysis: Review and analyze complex educational content, research questions, datasets, logical puzzles, and academic scenarios.
- Research and Fact-Checking: Use credible online sources to verify claims, validate information, and assess the accuracy of responses.
- Information Synthesis: Summarize extensive information into concise, structured, coherent, and easy-to-understand explanations.
- AI Response Evaluation: Assess AI-generated answers for factual accuracy, relevance, completeness, clarity, and logical consistency.
- Feedback and Annotation: Identify errors, provide constructive corrections, and explain the reasoning behind suggested improvements.
- Educational Conversation Assessment: Review genuine conversation histories involving learning, academic work, exam preparation, research, projects, and skill development.
- Training Data Quality: Create analytical examples, annotations, and evaluation scenarios that help improve AI model performance.
- Independent Problem-Solving: Apply critical thinking, creativity, and lateral reasoning to unfamiliar questions and complex analytical tasks.
Required Qualifications
- At least 1 year of relevant experience.
- Recent graduate or currently pursuing a degree.
- Strong fluency in U.S. English (en-US), including reading comprehension, grammar, and written communication.
- An active, previously established Gemini App account with at least 18 months of conversation history.
- At least 10 separate conversations related to education, learning, academics, exam preparation, research, projects, or skill development.
- Ability to provide an exported JSON file containing the required conversation history for review.
- Strong analytical, research, logical reasoning, and problem-solving abilities.
- Ability to evaluate information critically and provide detailed, evidence-based explanations.
- Good attention to detail and the ability to work independently in a remote environment.
Preferred Qualifications
- Pursuing or holding a bachelor's degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related discipline.
- Experience in business analysis, research, writing, editing, translation, journalism, or content evaluation.
- Familiarity with Microsoft Excel, Google Sheets, Google Docs, and other productivity tools.
- Ability to interpret data, perform basic arithmetic, and identify trends and relationships.
- Experience using AI tools for research, information analysis, or content evaluation.
- Strong documentation skills and the ability to communicate findings in a clear, structured format.
Account and Data Submission Requirements
- Candidates must maintain a genuine Gemini App account established before applying for the project.
- The account must contain at least 18 months of conversation history and a minimum of 10 relevant educational conversations.
- Candidates must submit an exported JSON file containing the required conversation history for eligibility review.
- Candidates may remove personal information and individual chats from the exported JSON file before submission.
- Creating a new account solely to participate in this project does not meet the stated eligibility requirements.
- The submitted conversation history will be reviewed to verify eligibility before onboarding.
Selection Process
- Interest Check Form: Submit the initial application and confirm interest in the project.
- Google Forms Assessment: Complete the required assessment to demonstrate analytical ability, comprehension, and relevant skills.
- Delivery Manager Review: Complete the final review of the application, assessment, and eligibility requirements.
Compensation and Engagement Terms
The role offers $30 per hour for approved project work. Candidates who submit the required JSON conversation-history file and are hired will receive an additional one-time payment of $50.
The assignment lasts 16 weeks and requires full-time availability, including at least 4 hours of daily overlap with PST. This is a contractor engagement and does not include medical benefits or paid leave.
What this role asks for
Particular to this role
Excel
Rare in Weekday AI's other 299 open postings.
Compared with Weekday AI's other open jobs.
The team: AI Training HIRES STEADILY
This role is one of 123 open in AI Training. 16 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (40 of 123), Machine Learning (34 of 123), LLM (20 of 123), Git (16 of 123), SQL (15 of 123), Excel (14 of 123), C++ (11 of 123)
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