Imagery Analyst - AI/ML Training Data
micro1Legit · not rated yetPosted 19 days ago
Pay: $20–60/hr
- Who can apply
- Open only to people in United States
- Hours
- Hours vary · Freelance
- Where
- Remote, work from home
- Job type
- Data annotation
- Openings
- 10 openings
At a glance: A freelance, remote data annotation job with micro1. It pays $20–60/hr, with hours that vary. Only people in United States can apply.
We may earn a referral fee if you are hired. How we make money
What happens after you click Apply
- You leave AI Trainer HQ and go to micro1’s own site.
- Pick a role, apply and answer the screening questions attached to it
- Sit the AI interview with Zara, spoken and recorded, about 20–40 minutes
- Complete a technical assessment if the role has one, then a hiring-manager review
- Take the offer, sign your Deel contract and clear the KYC identity check
How this pay compares
This job pays more than 22% of the 205 other software engineering jobs on the board that state pay; 77% pay more.
- This job
- $40/hrMiddle of $20–60/hr
- Median on micro1
- $65/hrFrom 287 other paid jobs
- Median in software engineering
- $65/hrFrom 205 other paid jobs
Requirements
- Qualifications
- Data labeling
- Data annotation
- Labeling accuracy
- Attention to detail
- Languages
- English
- Equipment
- Computer with a reliable internet connection
About this job
Role Title: Imagery Analyst - AI/ML Training Data
Role Type: Contractor (Part-time or Full-time)
Location: Remote, US-based.
micro1 is engaging Imagery Analyst - AI/ML Training Data experts to contribute to a high-impact customer project centered on drone and maritime sensor imagery. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
• Review and refine machine-generated bounding boxes for accuracy on still imagery from drone and maritime sensors.
• Identify and annotate objects missed by AI models.
• Label data maintaining consistency and adherence to provided guidelines.
• Deliver completed annotated images within a secure Navy environment
• Maintain steady, reliable throughput of completed images; compensation is based on each image submission.
• Transition to annotation of video frames as the project evolves and expands in scope.
• Document and communicate any ambiguous cases or guideline questions clearly, demonstrating strong written and verbal skills.
Preferred Qualifications
• U.S. citizenship and ability to obtain a DoD Common Access Card (CAC) or willingness to engage in the sponsorship process.
• Demonstrated attention to detail and consistency performing repetitive, accuracy-critical tasks.
• Experience with data labeling, bounding box annotation, or similar data-preparation activities.
• Familiarity with aerial, maritime, or sensor-based imagery, especially in daylight and thermal formats.
• Track record in high-volume, quality-controlled annotation environments (robotics or autonomous system data-labeling experience is a plus).
• Comfort using dedicated software tools for labeling tasks, with a willingness to learn new applications.
• Strong written and verbal communication skills for reporting and clarifying labeling requirements.
Listing history
- First seen on our board
- (9 days ago)
- Posted by micro1
- (19 days ago)
- Last checked
- Source
- micro1
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