Imagery Analyst - AI/ML Training Data
# Imagery Analyst - AI/ML Training Data **micro1** · United States · `Remote` · `Contractor` 💼 **Уровень роли:** `Mid-level` 💰 **Компенсация:** `$20 – $60` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-ML-Training-Data]` `[AI-Training-Data]` `[Image-Data-Analyst]` `[AI-Training-Data-Annotator]` `[AI-Training-Data-Annotation]` `[Training-Data]` `[Imagery-Analysis]` `[Aerial-Imagery-Analyst]` `[AI-Training-Data-Analyst]` `[Machine-Learning-Training-Data]` --- ### About the Role 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. Originally posted on Himalayas
- AI-ML-Training-Data
- AI-Training-Data
- Image-Data-Analyst
- AI-Training-Data-Annotator
- AI-Training-Data-Annotation
- Training-Data
- Imagery-Analysis
- Aerial-Imagery-Analyst
- AI-Training-Data-Analyst
- Machine-Learning-Training-Data
Наблюдалась 2026-10-08, впервые 2026-10-08, источник — Himalayas (JSON API).