Why this grade This listing scored 44/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Entry level Other
About Expedock
We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential
Who We Need
We’re looking for a detail-oriented, motivated individual to join our team as an Entry-Level AI Data Annotator. This role is perfect for anyone who’s curious about AI and computer vision and wants to get hands-on experience, even if it’s your first time working with these kinds of datasets.
What You’ll Do
- Perform basic image segmentation and object labeling following clear instructions, including polygons, bounding boxes, and semantic segmentation.
- Work with datasets such as roads, vehicles, curbs, lane markings, satellite imagery, blueprints, roofing, etc.
- Ensure accuracy by following simple QA checks and guidelines.
- Meet daily productivity goals and help keep projects on track.
- Ask questions and collaborate with team leads to resolve unclear labeling tasks.
- Suggest small improvements to make your workflow easier and faster.
What You Need
- Good attention to detail and a careful eye for visual accuracy.
- Basic computer skills. Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required.
- Willingness to learn and follow structured guidelines.
- Clear communication skills for asking questions or reporting issues.
- Comfortable working in a remote or team-based setup with productivity tracking.
Performance Metrics
- Daily image labeling throughput (images/day per operator).
- Annotation accuracy rate (as measured by QA review).
- Compliance with labeling guidelines and turnaround time.
Why Expedock
- HMO & Leave Credits: Stay protected with healthcare benefits and use accrued leaves by your third month
- Supportive Remote Environment: Work from home alongside a collaborative team that values growth and mutual success.
- Seamless Onboarding & Training: Get up to speed quickly with a structured program and client specific training designed to make you a subject matter expert in your assigned workflows.
Candidate Data & Privacy Notice
By submitting your application to Expedock, you acknowledge and consent to the collection, use, and processing of your personal information for recruitment and hiring purposes. Your information will be used to:
- Evaluate your qualifications and suitability for current and future roles
- Communicate with you throughout the recruitment process Improve our hiring processes and overall candidate experience
- Maintain talent pools for future opportunities, where permitted by law
We handle candidate data with care and in accordance with applicable data protection and privacy regulations. Your information will only be accessed by authorized team members and will not be shared with third parties without your consent, unless required by law.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 09 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.