Mandarin Q&A Review for Electrical Engineering

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Creating an OpenTrain account is free and gives you access to projects where people help teach how modern AI behaves.

We connect skilled contributors with projects that need careful human review and annotation. This role is posted on OpenTrain and follows the platform’s model for remote, flexible, contractor work.

About AI training and RAG work

AI training (also called data labeling, annotation, or human feedback) is the human side of building AI: people create, review, and validate examples that models learn from. Retrieval-augmented generation (RAG) projects require that model answers are backed by cited source documents.

This project focuses on verifying that answers to technical questions are fully supported by your available document set — a crucial step when models must give reliable, cited responses.

• Work is fully remote and well suited to part-time contributors.
• This role directly shapes how technical AI models answer engineering questions.

The role

You will review 50–100 Mandarin question–answer pairs in electrical engineering, using a provided document set and a document-finding tool to locate supporting references for each answer.

Each case is estimated to take about 20 minutes; the full project is expected to require roughly 20–40 hours total depending on speed and accuracy. The client seeks contractors who can commit 20+ hours/week.

• Employment type: Contractor, Part-time.
• Pay: USD $40 per hour (hourly, PAY_PER_HOUR).
• Data type: Text. Label type: PROMPT_RESPONSE_WRITING_SFT. Labeling software: Other (you will use the project’s document-finding tool).
• Worldwide applicants welcome; work is remote.

What you’ll do day-to-day

Follow project guidelines to review each Mandarin QA pair, evaluate the existing feedback flag (good/bad), and use the document finder to locate one or more documents that directly support the answer.

For each pair you will mark whether the answer is supported by available documents and attach the required citation metadata so the answer can be used in RAG training.

• Review the dataset entries and the provided feedback for each QA pair.
• Search the provided document collection with the document-finding tool to locate supporting sources.
• Record supporting document IDs/URLs and any required citation fields per project instructions.
• Flag answers that lack adequate support so they can be corrected or discarded.

Requirements

This is an intermediate-level role with a strong technical component. You must be fluent in Mandarin and comfortable reading technical electrical-engineering materials in that language.

The project benefits from domain knowledge: ideally you have education or work experience in electrical engineering. Experience at a large semiconductor company is a significant plus but not strictly required.

• Fluent Mandarin (reading and comprehension of technical text).
• Background in electrical engineering (education or employment) is ideal.
• Intermediate experience level in technical review or annotation work.
• Availability to work ~20+ hours per week and complete a 20–40 hour project.
• Strong attention to detail and ability to follow citation/support guidelines.

Who should apply

Apply if you are an electrical-engineering professional or student with strong Mandarin reading skills who enjoys careful, evidence-based review work. This role suits people who want flexible, remote contract work and who care about precise sourcing for technical answers.

Candidates with prior experience reviewing technical QA, working on RAG datasets, or with semiconductor industry experience are especially competitive.

• Remote-friendly: work from anywhere with a stable internet connection.
• Good fit for part-time contractors, researchers, or engineers seeking flexible hours.

How it works and next steps

To apply, create a free OpenTrain account if you don’t already have one and submit your application for this project. You will be asked about your Mandarin proficiency and electrical-engineering background.

If selected, you will receive project guidelines, access to the document set and finding tool, and instructions for recording citations and feedback. Work is tracked on an hourly, contract basis at $40/hr.

• Estimate: ~20 minutes per QA pair; ~20–40 total hours for the project depending on pace.
• Compensation paid hourly as a contractor at USD $40/hr.
• Project uses the platform’s process for assignment, submission, and payment.