Quality Project Associate
Abaka AI
Mountain View, CA0–2 yrs3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years
- Must know
- Project managementExcelOperations
- Work
- On-site in Mountain View
- Pay
- Not stated by the employer.
- Skill demand
- Operations41%Project management37%Excel34%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 12, 2026 · still open
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About the Role
Abaka AI is seeking a Quality Project Associate to ensure REX trainers and reviewers consistently apply client quality standards across AI data campaigns. This role involves working with the Quality Lead and Project Managers to review annotations, evaluate screener responses, and provide actionable feedback to trainers. You will also help identify and address the root causes of recurring errors.
Key Responsibilities
- Review samples of trainer submissions against campaign rubrics and approved examples, recording each issue, its severity, and supporting evidence.
- Provide clear, actionable feedback to trainers, specifying necessary changes and referencing relevant guidelines.
- Review corrected submissions to confirm issue resolution.
- Support screener and pilot reviews by scoring sample tasks, comparing scores to approved answers, and flagging ambiguous criteria.
- Prepare examples for reviewer calibration sessions, compare reviewer scores, and document decisions for consistent application.
- Track metrics such as pass rates, rework rates, and recurring errors using Airtable or spreadsheets.
- Summarize trends for project leads, distinguishing isolated mistakes from widespread issues.
- Escalate quality issues impacting delivery and collaborate with Training and Project Operations to update guidance and monitor error recurrence.
Requirements & Tech Stack
- Experience with spreadsheets for filtering, calculating metrics, and identifying patterns.
- Familiarity with Airtable, Slack, or annotation platforms (preferred).
- Experience with AI data evaluation (preferred).
- Proficiency in an additional language (preferred).
Qualifications
- 0 to 2 years of experience in quality assurance, data annotation, evaluation, research, project operations, or a related field.
- Strong attention to detail and analytical judgment.
- Ability to apply a rubric consistently, explain scores using evidence, and recognize ambiguity in instructions.
- Clear written communication skills for providing constructive feedback to a diverse team.
- Ability to manage review deadlines and adapt to changing client requirements.