Home › Companies › Expedock › AI Data Annotator
AI Data Annotator
Expedock · Remote · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Expedock |
| Title | AI Data Annotator |
| Normalized title | - |
| Department / team | Service Delivery Team |
| Location | Philippines |
| Work model | Remote / Remote |
| Employment type | Expedock Services |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-03-12 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Expedock. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in Service Delivery Team. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Expedock |
| Source | d7e0f573-2652-4805-b51d-e6558e669d9e |
| ATS provider | BambooHR |
Description
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.
Full job record
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| Org ID | 26efb420-cca5-45e3-85e8-8c6870217586 |
| Source ID | d7e0f573-2652-4805-b51d-e6558e669d9e |
| Board ID | d7e0f573-2652-4805-b51d-e6558e669d9e |
| Provider | bamboohr |
| Provider Job Key | 153 |
| Title | AI Data Annotator |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Service Delivery Team |
| Team | — |
| Employment Type | Expedock Services |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Philippines |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://expedock.bamboohr.com/careers/153 |
| Apply URL | https://expedock.bamboohr.com/careers/153 |
| First Seen At | 2026-05-30 06:07:16Z |
| Last Seen At | 2026-06-06 09:46:50Z |
| Last Checked At | 2026-06-06 09:46:50Z |
| Last Changed At | 2026-05-30 06:07:16Z |
| Inactive At | — |
| Source Posted At | 2026-03-12 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=expedock/date=2026-06-06/2026-06-06T09-46-48-421Z-e9a0d614a1e290f3874e72f6f21d1c2f1d903e91032537f09c5409e8129d12e6.json |
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"description": "<p><span style=\"font-size: 12pt; font-weight: bold\">About Expedock</span></p>\n<p><span>We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Who We Need</span></p>\n<p>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.</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What You’ll Do</span></p>\n<ul>\n<li>Perform basic image segmentation and object labeling following clear instructions, including polygons, bounding boxes, and semantic segmentation.</li>\n<li>Work with datasets such as roads, vehicles, curbs, lane markings, satellite imagery, blueprints, roofing, etc.</li>\n<li>Ensure accuracy by following simple QA checks and guidelines.</li>\n<li>Meet daily productivity goals and help keep projects on track.</li>\n<li>Ask questions and collaborate with team leads to resolve unclear labeling tasks.</li>\n<li>Suggest small improvements to make your workflow easier and faster.</li>\n</ul>\n<p><span style=\"font-weight: bold\">What You Need</span></p>\n<ul>\n<li>Good attention to detail and a careful eye for visual accuracy.</li>\n<li>Basic computer skills. Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required.</li>\n<li>Willingness to learn and follow structured guidelines.</li>\n<li>Clear communication skills for asking questions or reporting issues.</li>\n<li>Comfortable working in a remote or team-based setup with productivity tracking.</li>\n</ul>\n<p><span style=\"font-weight: bold\">Performance Metrics</span></p>\n<ul>\n<li>Daily image labeling throughput (images/day per operator).</li>\n<li>Annotation accuracy rate (as measured by QA review).</li>\n<li>Compliance with labeling guidelines and turnaround time.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Why Expedock</span></p>\n<ul>\n<li><span style=\"font-weight: bold\">HMO & Leave Credits:</span> Stay protected with <span style=\"font-weight: bold\">healthcare benefits and use accrued leaves by your third month</span></li>\n<li><span style=\"font-weight: bold\">Supportive Remote Environment: </span>Work from home alongside a collaborative team that values growth and mutual success.</li>\n<li><span style=\"font-weight: bold\">Seamless Onboarding & Training:</span> 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.</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Candidate Data & Privacy Notice</span></p>\n<p>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:</p>\n<ul>\n<li>Evaluate your qualifications and suitability for current and future roles</li>\n<li>Communicate with you throughout the recruitment process Improve our hiring processes and overall candidate experience</li>\n<li>Maintain talent pools for future opportunities, where permitted by law</li>\n</ul>\n<p>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.</p>",
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