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Full Time Data Annotation Tech Jobs (NOW HIRING)

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

Previous experience in data annotation, QA, or testing * Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative ...

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Full Time Data Annotation Tech information

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How much do full time data annotation tech jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for full time 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 is a full time data annotation tech?

Full Time Data Annotation Techs are professionals responsible for labeling and categorizing data used to train machine learning models. They examine various types of data, such as images, text, or audio, and apply specific tags or annotations according to project guidelines. Their work is essential in ensuring the accuracy of artificial intelligence systems by providing high-quality, structured datasets. Full-time positions typically involve working standard business hours and may require familiarity with specialized annotation tools and attention to detail.

What are the key skills and qualifications needed to thrive as a full time data annotation tech?

To thrive as a Full Time Data Annotation Tech, you need strong attention to detail, basic data management skills, and familiarity with data labeling practices, typically supported by a high school diploma or equivalent. Experience with annotation tools (such as Labelbox, Supervisely, or similar platforms) and basic proficiency in spreadsheet or database systems are commonly required. Reliability, consistency, and effective communication are crucial soft skills for quality assurance and collaboration with data teams. These skills and qualities are essential to ensure the accuracy and efficiency of annotated datasets, which directly impact the performance of machine learning models.

How does a full time data annotation tech typically collaborate with data scientists and engineers on projects?

As a Full Time Data Annotation Tech, you will regularly work alongside data scientists and engineers to ensure the accuracy and quality of labeled datasets used for machine learning models. Collaboration often involves attending project meetings to clarify annotation guidelines, providing feedback on ambiguous data cases, and updating annotation processes based on team input. Clear communication is essential, as your work directly impacts model performance and downstream analytics. This team-oriented environment fosters learning and provides insight into broader AI development workflows.

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

AspectFull Time Data Annotation TechData Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar credentials, often with training in labeling tools
Work EnvironmentOffice or remote, collaborative teamsRemote or on-site, focused on labeling tasks
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, healthcare
Job FocusAnnotating data for machine learning modelsLabeling data to improve AI accuracy

Both roles involve data annotation and labeling, often requiring similar skills and working environments. The main difference lies in job titles used by employers and the scope of responsibilities, with 'Full Time Data Annotation Tech' emphasizing a broader technical role, while 'Data Labeling Specialist' may focus more on specific labeling tasks.

Does full time data annotation tech actually pay?

Full-time data annotation technicians typically receive a regular salary or hourly wage, with pay rates varying based on experience, location, and company. Many roles offer benefits such as paid time off and health insurance, and some positions may require familiarity with annotation tools or specific data types.
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Infographic showing various Full Time Data Annotation Tech job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $47,512 per year, or $22.8 per hour.

Senior Process Associate

Reno, NV

HCL Technologies Limited
IT Services • 10K+ employees

Full-time

Medical, Dental, Vision, Retirement

Posted 4 days ago


Job description

Job Summary

Work Location : Reno - USA 
Working Hours: Mon – Friday (8am-5pm / 9am-6pm) 
Type of Employment : FTE 

Summary 
As an Annotation Associate, you will be responsible for manually annotating and labeling data items for our client in the Data Annotation space. This role includes supporting various streams that are part of the team/project. You will provide day-to-day support to the project leads and the teams, ensuring the accuracy and reliability of data sets. 

Key Responsibilities

Responsibilities: 
• Manually annotate and label data items. 
• Verify the accuracy and reliability of data sets. 
• Create targeted sets to evaluate and improve judgment quality. 
• Annotate search results based on how well they satisfy user needs. 
• Verify annotated data and correct any errors. 
• Maintain records of completed work. 
• Ensure consistency in data annotation. 
• Provide feedback to improve data annotation processes. 
• Collaborate with team members to meet project objectives. 
• Analyze test results to identify areas of weakness and make recommendations for improvement. 

Skill Requirements

Qualifications: 
• A bachelor’s or master’s degree. 
• Open to fresh graduate with required languages proficiency. 
• Proficient in English communication skills. 
• Experience with data labeling and categorizing. 
• A keen eye for detail to ensure accuracy in annotation. 
• Strong research skills to analyze the possible intents behind user search queries. 
• Ability to manage time effectively and meet deadlines. 
• Ability to analyze data and follow complex instructions. 
• Ability to aggregate and analyze data in Excel. 
• Experience with data labeling and categorizing. 
• Listening to content and transcribing the content (Listening, Speaking, Reading, Writing). 
• Understanding of the domain relevant to the annotation project (Ex: Audio, Text annotation, speech recognition, Natural language Processing is preferred.  
• Experience with annotation tools and platforms is preferred.

Other Requirements

Resources will be conducting Data Labelling/Annotation for AI Machine Learning. They will be helping with the accuracy in how AI transcribes audio to text.  


Our benefits come standard, with FULL Medical/Vision/Dental/401K/FSA/Ancillary Plans.  We do offer additional benefits to our employees such as Tuition Reimbursement, Employee Assistance Program, Employee Discount Center, and more.