Data Annotator / Geospatial Annotation Specialist
Aechelon Technology · South San Francisco
Posted about 2 months ago · $82,000 - 92,000
or apply directly on Aechelon Technology's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 51 days Aechelon Technology's roles stay open a median of 52 days
- Reposted
- No
- Salary listed
- Yes 59% of Aechelon Technology's roles list one
- Ghost-job risk at Aechelon Technology
- high 18 stale, 1 reposted of 22 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-24
Measured from postings appearing on and disappearing from Aechelon Technology's own greenhouse board since 2026-08-03. Full hiring picture for Aechelon Technology.
About this role
The Data Annotator / Geospatial Annotation Specialist at Aechelon Technology is responsible for creating high-quality training datasets for machine learning and computer vision models. Daily tasks include detailed vector annotation, image segmentation, and dataset preparation while ensuring adherence to quality standards. The role also involves validating automated detection outputs, providing feedback on model performance, and contributing to workflow improvements.
- benefits
- 2/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
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 Aechelon Technology as an employer.
What you need
- Background in GIS, Remote Sensing, Image Analysis, Digital Art, Photography, or related field
- Prior experience with image annotation, data labeling, GIS feature extraction, or segmentation workflows
- Ability to visually identify subtle features in imagery with extreme precision
- Strong analytical, organizational, and documentation skills
- Ability to work with large datasets for extended periods while maintaining accuracy and focus
- Expertise in Adobe Photoshop (Advanced)
Nice to have
- Experience creating training datasets for machine learning, object detection, or image segmentation models
- Familiarity with YOLO, PyTorch, or fast.ai
- Ability to create simple scripts to automate annotation steps or pre-processing tasks
- Experience using ChatGPT or other LLMs to improve workflows
- Understanding of geospatial features such as vegetation, buildings, vehicles, aircraft
What you get
- Compensation range of $82,000 - 92,000 per year
- Company performance-based profit sharing
- 401k
- 100% employer paid health benefits (medical, dental, vision, life, STD, LTD, and life insurance plans)
Worth weighing
- No relocation reimbursement provided
- Final compensation based on candidate's skills, qualifications, and experience
- Role involves maintaining strict accuracy and quality standards under potentially high workload
Summarised from Aechelon Technology's posting. Read the full original.
Listed by Aechelon Technology on their greenhouse job board, last confirmed open on 2026-09-24. PitchMeAI is not the employer.
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