Jobs at DataAnnotation

Positions 418

DataAnnotation is a leading AI‑driven data services company that delivers high‑quality labeled datasets for machine learning models across finance, healthcare, and autonomous driving.

They hire software engineers, data scientists, annotation specialists, project managers, and quality assurance analysts—often offering remote or hybrid work, competitive salaries, and rapid career progression in a fast‑growing industry.

On Job Transparency, every DataAnnotation listing shows the exact salary band, employee sentiment, and growth metrics, giving candidates a clear advantage when comparing offers and negotiating.

Social Media Manager - AI Trainer

Company: DataAnnotation

Location: Arlington, TX

Posted Jun 25, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Proofreader - AI Trainer

Company: DataAnnotation

Location: Phoenix, AZ

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

High School Teacher - AI Trainer

Company: DataAnnotation

Location: Texas

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Copywriter - AI Trainer

Company: DataAnnotation

Location: Gilbert, AZ

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Customer Specialist- AI Trainer

Company: DataAnnotation

Location: Arizona

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will have conversations with chatbots in order to measure their progress,…

Copywriter - AI Trainer

Company: DataAnnotation

Location: Arizona

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Proofreader - AI Trainer

Company: DataAnnotation

Location: Glendale, AZ

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Customer Specialist- AI Trainer

Company: DataAnnotation

Location: Chandler, AZ

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will have conversations with chatbots in order to measure their progress,…

Proofreader - AI Trainer

Company: DataAnnotation

Location: New York State

Posted Jun 25, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Proofreader - AI Trainer

Company: DataAnnotation

Location: Austin, TX

Posted Jun 25, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

High School Teacher - AI Trainer

Company: DataAnnotation

Location: Los Angeles, CA

Posted Jun 24, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Proofreader - AI Trainer

Company: DataAnnotation

Location: Garland, TX

Posted Jun 25, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). Write high-quality answers when given specific prompts.

Frequently Asked Questions

What is it like to work at DataAnnotation?
Employees describe a collaborative culture that values data quality, continuous learning, and flexibility; most teams work across multiple time zones and use cutting‑edge tools.
What types of positions are available at DataAnnotation?
Open roles span from backend software engineering and AI research to data labeling, project coordination, UX design, and client success management.
How can I stand out as an applicant for DataAnnotation?
Showcase concrete project outcomes, provide measurable impact metrics, demonstrate proficiency with relevant tech stacks, and highlight experience with large‑scale data annotation pipelines.

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