Innodata
Data Annotator - Hybrid
$42K–$62K
Hybrid - Washington D.C +1 · Remote · Full-time · Posted Sep 9, 2026
- Location
- Hybrid - Washington D.C
ISL - Remote - US - Experience
- 1+ years, or equivalent precision work in a quality-managed production environment.
About the job
Produces and quality-checks image and video annotations used to train and evaluate machine-learning models, following project specifications and targets.
What you'll do
- Annotate imagery and video with bounding boxes, segmentation masks, keypoints, pose data, and multi-object tracking as projects require.
- Review model-assisted labels, correct work based on QA feedback, and report recurring errors or ambiguities.
- Follow project guidelines and data-security requirements while meeting accuracy and throughput targets.
What they ask for
- 1+ years of image or video annotation experience, or equivalent precision work in a quality-managed production environment.
- Working familiarity with at least one professional annotation platform.
- Practical understanding of bounding boxes, segmentation masks, keypoints, and object tracking.
- Ability to follow written guidelines, maintain visual accuracy at scale, and work in remote-desktop or browser-based environments.
Nice to have
- Experience with multiple annotation modalities, aerial/overhead/satellite/thermal imagery, long-form video tracking, or model-assisted pre-label review.
- Prior work on government or regulated-industry programs.
Pay
$42,000 to $62,500 annually (USD; base salary)
Tools
CVAT, V7 Darwin, Labelbox, Scale
AI focus
Annotates imagery and video and reviews model-assisted output to train and evaluate machine-learning models.
Model-written summary · the original posting is authoritative