- ਅਨੁਭਵ
- 1–4 yrs
- ਤਨਖਾਹ
- —
- ਖੁੱਲ੍ਹਣ ਵਾਲੀਆਂ ਥਾਵਾਂ
- 1
- ਪੋਸਟ ਕੀਤਾ ਗਿਆ
- 2 ਘੰਟੇ
- Work mode
- ਘਰੋਂ ਕੰਮ ਕਰੋ
- Eligibility
- Professionals in the United States with relevant experience in annotation, caption labeling, or quality assurance, and access to their own computer for remote BYOD work.
- Resume
- Required to apply
ਕੰਮ ਦਾ ਵੇਰਵਾ
Role Overview
We are seeking professionals in the United States for an AI training assignment tied to autonomous vehicle technology. The work involves reviewing brief driving clips, checking AI-generated explanations, and making sure captions and driving decisions are accurate, safe, and consistent with real-world driving behavior.
Open Roles
This project includes two profiles: an AI Video Annotation Agent and a Quality Analyst for AI Data Annotation.
1. Agent – AI Video Annotation
This role suits candidates with 1 to 2 years of experience. The work centers on analyzing 30-second driving videos, spotting road conditions and objects, and correcting any incorrect or unrealistic AI output.
- Inspect short driving clips and interpret the road scene
- Review AI-generated reasoning and fix inaccuracies
- Check that the proposed driving path matches what appears in the video
- Connect objects mentioned in text to their precise position in the clip
- Rework descriptions so they are clear, fluent, and natural
2. Quality Analyst – AI Data Annotation
This role is intended for candidates with 2 to 4 years of experience. The responsibility is to review already annotated video data, catch mistakes, and confirm that the output meets the required quality benchmark.
- Audit labeled video content for correctness
- Spot both major and minor issues affecting safety or reasoning
- Examine the AI thinking trace for alignment and consistency
- Mark failed batches for another round of labeling
- Carry out RCA and CAPA when needed
What We’re Looking For
Applicants should have experience in labeling, caption annotation, or QA. Strong English understanding, careful attention to detail, and familiarity with US traffic rules and driving patterns are important. Candidates must also be able to work within defined AHT and quality targets. A personal computer is required because this is a BYOD setup.
Application Details
When applying, share your updated CV or profile, relevant experience in annotation, caption labeling, or QA, your weekly availability in hours, your expected hourly rate, and confirmation that you have your own computer for BYOD work.
Work Environment
This is a remote role based in the United States. The industry focus is AI data annotation, autonomous vehicles, and computer vision.