Data Quality Associate, AI Labeling

eDataBae; India; On-site; INR 500,000 - 800,000; Full time

Benefits offered by this job

Equipment provided

Independent contractor flexibility

Job summary

eDataBae is seeking a Data Quality Associate in India to verify AI-extracted data for accuracy. In this independent contractor role, you will evaluate documents, ensuring quality standards while meeting throughput targets. Ideal candidates will have over 2 years of relevant experience, strong written English, and the ability to work independently, especially during evening shifts to accommodate US time zones. The position requires reliable internet and personal equipment, with work conducted remotely.

Qualifications

• 2+ years of experience in a detail-intensive role involving data annotation or QA.
• Comfort with parsing US clinical and administrative documents.
• Willingness to work an evening shift in India to overlap with US Eastern Time.

Responsibilities

• Complete QC reviews in the Tennr platform, marking correct/incorrect values.
• Provide feedback on ambiguous examples and escalate systematic issues.
• Maintain quality above agreed accuracy thresholds while meeting throughput targets.

Skills

Data quality

Annotation

Attention to detail

Excellent written English

Reading comprehension

Tools

Label Studio

Scale

Snorkel

Labelbox

Job description

About The Role

As a Data Quality Associate, you will be the human verification layer for Tennr’s auto‑pilot functionality. You will open a source document, look at what our AI extracted or decided, and tell us, field by field, whether it got it right. Your work directly unblocks auto‑pilot and AI capabilities for real customers.

This is a high‑volume, high‑focus role. The best people are fast, precise, allergic to sloppy work, and care about the underlying why, not just clicking through a queue. Every auto‑pilot customer we launch removes hours of manual work from a real clinic or provider group, which means patients wait less and providers get paid faster. The quality of your labels is the single biggest lever we have to get there sooner.

What You Will Do

• Complete QC reviews (labeling) in the Tennr platform. Review documents and extracted/predicted fields, mark correct/incorrect, correct values based on document evidence, follow written + customer/workflow‑specific guidelines.
• Provide feedback on edge cases by flagging ambiguous examples and escalating suspected systematic issues.
• Work through labeling projects with consistency and hitting throughput targets, while keeping quality above agreed accuracy thresholds.

What We Are Looking For

• 2+ years of experience in a detail‑intensive role: data annotation, QA, medical records, claims review, insurance verification, back‑office healthcare ops, or similar.
• Excellent written English and strong reading comprehension. You will spend your day parsing US clinical and administrative documents.
• Sharp attention to detail. You notice when a date is off by one day, when a DOB does not match, when a CPT code looks wrong for the described service.
• Comfort working independently in a remote setup with clear written guidelines, Slack check‑ins, and async feedback loops.
• Reliable high‑speed internet, a private work environment, and your own computer with a modern browser.
• Willingness to work an evening shift in India to largely overlap with US Eastern Time.

Nice to Have

• Experience with US healthcare workflows: prior authorization, revenue cycle management, referral management, eligibility and benefits verification, or medical billing/coding.
• Familiarity with ICD‑10, CPT, HCPCS, or payer‑specific prior auth requirements.
• Experience with labeling or annotation tools (Label Studio, Scale, Snorkel, Labelbox, internal tools, or similar).
• Exposure to LLM evaluation or AI model QA.
• Prior experience working directly with US‑based teams on an overlapping schedule.

How You Will Be Measured

• Labeling accuracy, measured against periodic manager reviews.
• Throughput against weekly targets for your assigned document types.
• Quality of the error patterns and edge cases you surface.
• Responsiveness and reliability across the contract.

Logistics

• This is an independent contractor engagement with Tennr. You are responsible for your taxes and statutory contributions in India.
• Equipment will be provided.

Skills

data quality, annotation, it