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Overnight Remote Image Annotation Jobs (NOW HIRING)

High Volume (TOFU) Recruiter

Dallas, TX · On-site +1

$55K - $100K/yr

When a pipeline dries up or a new program spins up overnight, you don't wait to be told -- you move ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

When a pipeline dries up or a new program spins up overnight, you don't wait to be told -- you move ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

High Volume (TOFU) Recruiter

Columbus, OH · On-site +1

$55K - $100K/yr

When a pipeline dries up or a new program spins up overnight, you don't wait to be told -- you move ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

High Volume (TOFU) Recruiter

Austin, TX · On-site +1

$55K - $100K/yr

When a pipeline dries up or a new program spins up overnight, you don't wait to be told -- you move ... annotation -- delivering the datasets that frontier AI research requires and remote workforce ...

Teleradiologist - Pennsylvania

Indiana, PA · On-site +1

$292K - $365K/yr

This role emphasizes high-quality image interpretation, effective communication with referring ... Fully remote or hybrid teleradiology environment * Coverage may include hospitals, emergency ...

Showing results 41-60

Overnight Remote Image Annotation information

What is the difference between Overnight Remote Image Annotation vs Data Labeler?

AspectOvernight Remote Image AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hours, often overnightRemote or on-site, flexible or standard hours
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, general data processing
Job FocusAnnotating images for training AI modelsLabeling data for machine learning models

Overnight Remote Image Annotation and Data Labeler roles both involve preparing data for AI systems. The main difference lies in the focus: image annotation specifically involves marking images, often overnight and remotely, while data labelers may work with various data types during regular hours. Both roles require attention to detail and are essential in AI development.

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What are the most commonly searched types of Remote Image Annotation jobs?

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Infographic showing various Overnight Remote Image Annotation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.

Junior/Middle Computer Vision Engineer ID72410

AgileEngine

Tallahassee, FL • On-site, Remote

Full-time

Posted 16 days ago


Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience.

WHAT YOU WILL DO
- Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;
- Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;
- Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;
- Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;
- Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments.

MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;
- Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);
- Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);
- Foundational coding skills in Python;
- Foundational understanding of machine learning concepts and workflows;
- Basic knowledge of computer vision principles (e.g., image processing, object detection basics);
- Basic familiarity with cloud environments and compute resources;
- A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;
- Excellent attention to detail, specifically regarding data quality and documentation;
- Upper-intermediate English level.

PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.