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Data Annotation Tech Jobs (NOW HIRING)

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

Oversee data annotation projects, translating complex AI and machine learning requirements into ... technology companies * Proven ability to own complex, multi-stakeholder workflows end-to-end ...

itD Tech

Data Engineer III (6193)

Menlo Park, CA · On-site

$35 - $39/hr

Experience leveraging LLMs for data annotation, data cleaning, evaluation, or prompt engineering workflows. * Knowledge of generative AI technologies, including diffusion models, image generation ...

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How much do data annotation tech jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for data annotation tech 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 in the Data Annotation Tech position, and why are they important?

To thrive as a Data Annotation Tech, you need keen attention to detail, basic computer literacy, and familiarity with data labeling standards, often supported by a high school diploma or equivalent. Experience with annotation platforms, image or text labeling tools, and basic knowledge of data management systems is highly valuable. Strong organizational skills, patience, and effective communication set top candidates apart in this field. These skills and qualities ensure annotated data is accurate, consistent, and valuable for machine learning or AI projects.

What does a typical day look like for a Data Annotation Tech?

A typical day as a Data Annotation Tech involves reviewing large sets of data—such as images, text, or audio—and accurately labeling or categorizing them using specialized software. You may work independently or as part of a team, following specific project guidelines to ensure data integrity and consistency. Collaboration with project managers or data scientists is common when clarifying ambiguous data points or addressing annotation challenges. Additionally, productivity targets and quality checks are a regular part of the workflow, helping to keep projects on schedule and maintain high standards.

What is a Data Annotation Tech job?

A Data Annotation Tech is responsible for labeling and categorizing data, such as text, images, audio, or video, to train machine learning models. They follow specific guidelines to ensure accuracy and consistency in annotations, which helps improve the performance of AI systems. This role often involves repetitive tasks, attention to detail, and familiarity with various annotation tools. Data annotation is crucial for AI development in industries like healthcare, finance, and autonomous driving.

Is data annotation legit or not?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of AI development projects, making it a valid employment option.
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Data Annotation Tech jobs near you
Infographic showing various Data Annotation Tech job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Polish AI Evaluation & Data Annotation (Remote)

Crossing Hurdles

Poland, NY • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A technology evaluation company in New York seeks an individual proficient in Polish to evaluate AI model responses. Responsibilities include assessing personalization quality and designing creative multi-turn prompts. Candidates must have experience in data annotation or AI evaluation, strong analytical skills, and the ability to communicate clearly in writing.

This full-time role requires at least 4 hours of overlap with PST and the willingness to work remotely using a personal Google account. #J-18808-Ljbffr

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