or apply directly on Jobgether's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 10 days Jobgether's roles stay open a median of 12 days
- Reposted
- No
- Salary listed
- No 0% of Jobgether's roles list one
- Ghost-job risk at Jobgether
- low 0 stale, 0 reposted of 4,675 open
- Hiring momentum
- 24620 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Jobgether's own lever board since 2026-08-04. Full hiring picture for Jobgether.
About this role
As an ML Annotation QA Engineer, you will ensure the quality and reliability of annotated data for computer vision and machine learning systems. Your role involves data analysis, quality assurance, and collaboration with ML and engineering teams to identify and address annotation errors and model regressions. You will also develop performance tracking systems to analyze patterns and establish scalable quality practices for AI and robotics programs.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Jobgether as an employer.
What you need
- Strong technical reasoning skills
- Experience in data analysis
- Quality assurance expertise
- Ability to conduct root cause investigations
- Process design skills
- Cross-functional collaboration experience with ML and engineering teams
Worth weighing
- Position is for a partner company, not directly for the hiring company
- No specific salary or benefits mentioned
Summarised from Jobgether's posting. Read the full original.
Listed by Jobgether on their lever job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.