Project Epsilon - Assamese Quality Control Specialist
- Role
- Unknown
- Employment
- Part-time20h/week
Open to IN only. Set where you work from to check your eligibility.
No BS summary
We are looking for detail-oriented Quality Control (QC) Specialist to support an AI data annotation project. In this role, you will review the work submitted by Trainers — pre-seeded questions paired with images and their corresponding applications — to confirm accuracy, consistency, and adherence to project guidelines.
Required skills
Optional skills
Required languages
About the Role We are looking for detail-oriented Quality Control (QC) Specialist to support an AI data annotation project. In this role, you will review the work submitted by Trainers — pre-seeded questions paired with images and their corresponding "golden" answers — to confirm accuracy, consistency, and adherence to project guidelines. This is a task-based, remote-friendly opportunity ideal for individuals who are highly meticulous, observant, and skilled at spotting errors or inconsistencies that others may miss. What You'll Do Review completed tasks submitted by Trainers, including the original question, the image, and the golden answer provided Independently verify whether the golden answer is correct based on the image Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers Provide clear, constructive feedback or corrections to help maintain overall data quality Track recurring error patterns and report them to the project team Ensure Trainer output meets the project's quality bar before final sign-off Escalate unclear cases (e.g., illegible images, ambiguous questions) to the project team for resolution What We're Looking For Native/Strong proficiency at Assamese Bachelor's degree required Excellent attention to detail and a strong quality mindset Good visual observation and reading comprehension skills Ability to apply guidelines/rubrics consistently and objectively Strong written English communication skills, especially for giving feedback Prior experience in quality assurance, quality control, editing, proofreading, data review, data annotation or data labeling is a plus Reliable access to a computer and internet connection Work Format & Compensation Work Type: freelance, remote Hours/Schedule: 20 hours per week Compensation: $19.8/hr Duration: Long-term #LI-CC1
What you'll do
- Review completed tasks submitted by Trainers, including original question, image, and golden answer provided
- Independently verify whether the golden answer is correct based on the image
- Identify and flag incorrect, incomplete, ambiguous, or inconsistent answers
- Provide clear, constructive feedback or corrections to help maintain overall data quality
- Track recurring error patterns and report them to the project team
- Ensure Trainer output meets project’s quality bar before final sign-off
- Escalate unclear cases (e.g., illegible images, ambiguous questions) to project team for resolution
What they require
- Bachelor’s degree required
- Excellent attention to detail and strong quality mindset
- Good visual observation and reading comprehension skills
- Ability to apply guidelines/rubrics consistently and objectively
- Strong written English communication skills, especially for giving feedback
- Reliable access to computer and internet connection
Benefits
- Project-based opportunities that fit your availability
- Choose when and how much you want to contribute—fully remote, with complete autonomy
- Optional access to AI and Large Language Model workshops designed specifically for professionals like you
- No coding required—just your expertise
- Be part of a global contributor community with responsive guidance and support
- Apply your expertise in the Legal field to influence AI systems shaping the future of industry
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
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