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Work From Home Ai Data Labeling Jobs (NOW HIRING)

This is a high-impact role where you'll help shape the foundation of our AI capabilities from the ... Work closely with ML engineers to understand data requirements and edge cases. * Manage team ...

AI Engagement Manager

$150K - $180K/yr

... data, evals, and RL environments frontier models learn from. We work with leading frontier labs ... Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... Availability to participate in task-based work (schedule may vary) Nice to Have * Previous ...

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Work From Home Ai Data Labeling information

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$19K

$71.8K

$184K

How much do work from home ai data labeling jobs pay per year?

As of Jun 16, 2026, the average yearly pay for work from home ai data labeling in the United States is $71,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,500.00 and $89,000.00 per year, depending on experience, location, and employer.

What is a Work From Home AI Data Labeling job?

A Work From Home AI Data Labeling job involves annotating and categorizing data, such as images, text, or audio, to train machine learning models. Labelers follow specific guidelines to ensure accuracy and consistency in tagging data. This work is typically done remotely using specialized software provided by the employer. It is a key step in improving AI systems by helping them learn from high-quality labeled data.

What are the key skills and qualifications needed to thrive in the Work From Home Ai Data Labeling position, and why are they important?

To thrive as a Work From Home AI Data Labeling professional, you need keen attention to detail, basic data analysis skills, and often a high school diploma or equivalent. Familiarity with digital annotation platforms or labeling tools, and experience using spreadsheets or data management systems, are commonly required. Strong time management, self-motivation, and the ability to follow complex guidelines distinguish top performers in this remote role. These skills ensure consistent, high-quality labeled data vital for training reliable AI models.

What does a typical day look like for someone in a Work From Home AI Data Labeling position?

A typical day as a work-from-home AI data labeler involves reviewing batches of digital data (such as images, text, or audio) and accurately tagging or annotating them according to specific project guidelines. You will regularly use specialized software tools, collaborate remotely through messaging platforms, and check in with team leads or quality assurance reviewers for feedback. The pace can be steady and repetitive, but there’s often flexibility in scheduling and the potential to take on more advanced projects or supervisory roles as you gain experience. Success in this role relies on maintaining focus, meeting daily quotas, and communicating any challenges promptly with your remote team.

More about Work From Home Ai Data Labeling jobs
What cities are hiring for Work From Home Ai Data Labeling jobs? Cities with the most Work From Home Ai Data Labeling job openings:
What states have the most Work From Home Ai Data Labeling jobs? States with the most job openings for Work From Home Ai Data Labeling jobs include:
What job categories do people searching Work From Home Ai Data Labeling jobs look for? The top searched job categories for Work From Home Ai Data Labeling jobs are:
Infographic showing various Work From Home Ai Data Labeling job openings in the United States as of June 2026, with employment types broken down into 65% Full Time, 26% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $71,813 per year, or $34.5 per hour.

Data Labeling Lead (Contract)

Reducto

Remote

Contractor

Posted 19 days ago


Job description

Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a complete toolkit for handling any workflow by understanding documents the way a human would. Using an agentic architecture to orchestrate dozens of vision and frontier models behind the scenes, Reducto delivers high accuracy on complex, real-world documents where other tools fall short.
We've grown rapidly, increasing revenue 8x year over year and partnering with hundreds of companies, from leading AI teams like Harvey, Vanta, and Scale, to enterprise customers across FAANG and top trading firms.
Reducto has raised over $100M from world-class investors including a16z, Benchmark, and First Round Capital.
The Opportunity
As Data Labeling Lead, you'll play a key role in leading and managing our in-house data labeling team to ensure the highest quality of training data for our models. You'll collaborate closely with the ML and engineering teams to refine labeling guidelines and maintain rigorous accuracy standards. This is a high-impact role where you'll help shape the foundation of our AI capabilities from the ground up.
What You'll Do:
  • Lead, train, and manage our in-house data labeling team.
  • Define, execute, and continuously improve data annotation processes with a very high attention to detail.
  • Ensure high-quality data outputs and meet rigorous accuracy and consistency standards.
  • Work closely with ML engineers to understand data requirements and edge cases.
  • Manage team schedules, specifically coordinating and working nighttime hours Pacific Time (PT).
You'll Thrive Here If You:
  • Possess a very high attention to detail.
  • Have 3+ years of experience working in Python and are comfortable managing basic data labeling apps.
  • Have the ability to work nighttime hours PT.
  • Hold yourself to a high bar for quality and precision.
  • Enjoy solving complex problems and building from first principles.
  • Have 3+ years of experience in data labeling, operations, or team management.
  • Operate well in fast-changing, high-growth environments.
  • Collaborate effectively across technical and non-technical teams.
  • Take full ownership from strategy through execution.
Bonus points if you:
  • Have experience at an early-stage or high-growth startup.
  • Are familiar with AI/ML data pipelines and labeling tools.
  • Care deeply about combining operational excellence with business impact.
Why Reducto
  • Impact: Your work directly shapes how the world's best AI companies access and use enterprise data.
  • Speed: We move fast, ship often, and iterate in days, not months.
  • Learning: Work alongside world-class engineers, operators, and founders who care deeply about product, precision, and velocity.

This is a contract role based anywhere in North America. We're an early-stage company, we move fast and work hard. Please apply only if that excites you.
Equal Opportunity
Reducto is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration without regard to sex, race, color, age, national origin, religion, disability, sexual orientation, gender identity, veteran status, or any other protected category.