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Data Annotation Tech Remote Jobs (NOW HIRING)

Mercor

Data Annotation Specialist - AI Lab

New York, NY · Remote

$50/hr

Remote Role Responsibilities * Review, evaluate, and annotate AI outputs with extreme attention to ... Experience with large-scale AI data annotation or evaluation programs. * Background in QA, ...

YO IT Consulting

French AI Data Trainer - Remote

Job Summary : YO IT Consulting is seeking a detail-oriented and analytically strong AI Safety ... annotation guidelines and edge-case decision frameworks • Ensure consistency in policy ...

YO IT Consulting

French AI Data Trainer - Remote

Job Summary : YO IT Consulting is seeking a detail-oriented and analytically strong AI Safety ... annotation guidelines and edge-case decision frameworks • Ensure consistency in policy ...

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How much do data annotation tech remote jobs pay per hour?

As of May 29, 2026, the average hourly pay for data annotation tech remote in the United States is $22.84, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $27.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

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Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Temporary. Highlights an 45% Physical, 6% Hybrid, and 49% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.
Finance AI Trainer - Remote, Flexible Hours

Finance AI Trainer - Remote, Flexible Hours

Data Annotation

Mcfarland, CA • Remote

$50 - $60/hr

Full-time

Posted 2 days ago

Job description

Data Annotation, based in California, is seeking experienced finance professionals to join a remote position aimed at improving AI understanding in the finance sector. Responsibilities include evaluating AI outputs and providing structured feedback, ensuring high accuracy in financial decision-making training. Candidates should have proficiency in financial analysis and a Master's or PhD is preferred.

The position offers flexibility in schedule, with pay rates starting at $50-$60 per hour, plus bonuses for quality work. #J-18808-Ljbffr

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