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Part Time Data Annotator Jobs (NOW HIRING)

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Part Time Data Annotator information

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$46K

$165K

$243.5K

How much do part time data annotator jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time data annotator in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a part time data annotator?

Part time data annotators are individuals who work on a flexible or reduced-hours basis to label, categorize, or tag data such as images, text, or audio. Their work helps train machine learning models by providing accurately labeled datasets. This role typically involves using specialized software to mark up data according to specific guidelines, and can often be done remotely. Part time positions are ideal for students, freelancers, or anyone seeking supplemental income while contributing to artificial intelligence projects.

What are the key skills and qualifications needed to thrive as a part time data annotator, and why are they important?

To thrive as a Part Time Data Annotator, you need strong attention to detail, basic computer literacy, and familiarity with data labeling concepts, often supported by a high school diploma or equivalent. Experience with annotation platforms like Labelbox, CVAT, or proprietary tools, as well as understanding of data privacy and security protocols, is typically required. Excellent communication, time management, and the ability to follow precise instructions help individuals stand out in this role. These skills ensure high-quality, accurate data labeling that is crucial for training reliable machine learning models.

What are some common challenges faced by part time data annotators, and how can they be managed?

Part-time data annotators often encounter challenges such as repetitive tasks, tight deadlines, and maintaining high accuracy over long periods of work. To manage these, it's helpful to take regular short breaks, use annotation guidelines provided by the employer, and communicate proactively with team leads about any ambiguities in the data. Many organizations also provide training sessions and feedback, which can help annotators continuously improve their skills and adapt to evolving project requirements.

What is the difference between Part Time Data Annotator vs Part Time Data Labeler?

AspectPart Time Data AnnotatorPart Time Data Labeler
Required SkillsAttention to detail, basic understanding of data types, familiarity with annotation toolsAttention to detail, understanding of data categories, use of labeling software
Work EnvironmentRemote or office-based, working with datasets and annotation platformsRemote or office-based, focusing on labeling images, text, or audio data
Industry UsageAI, machine learning, data science projectsAI, machine learning, data preparation tasks

Both roles involve working with data to prepare it for machine learning models. The main difference lies in terminology; 'Data Annotator' often emphasizes detailed annotation tasks, while 'Data Labeler' focuses on categorizing data. Both positions typically require similar skills and are used interchangeably in many companies.

Can I work as a part time data annotator with no experience?

Part time data annotator roles often do not require prior experience, as training is typically provided to help new workers learn annotation tools and guidelines. Basic computer skills and attention to detail are usually sufficient to start, making it accessible for beginners. However, some positions may prefer or require familiarity with specific data types or annotation platforms.

Can you do data annotation part-time?

Yes, data annotation jobs, including part-time roles, are commonly available and often offer flexible schedules. These positions typically require attention to detail and familiarity with annotation tools, making them suitable for individuals seeking part-time work. Availability depends on the employer and specific job postings.

How much do data annotators get paid?

Data annotators typically earn between $10 and $20 per hour, depending on the company, location, and complexity of the tasks. Many roles are part-time and may require basic skills in data labeling and familiarity with annotation tools.
More about Part Time Data Annotator jobs

What cities are hiring for Part Time Data Annotator jobs?

Cities with the most Part Time Data Annotator job openings:

What are the most commonly searched types of Data Annotator jobs?

The most popular types of Data Annotator jobs are:

Infographic showing various Part Time Data Annotator job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Foreign Language Annotator

AeroVironment

Annapolis Junction, MD • On-site

$70/hr

Full-time, Part-time

Medical, Dental, Vision, Retirement

Posted 26 days ago


AeroVironment rating

9.1

Company rating: 9.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

7th of 72 rated aerospace companies


Job description

Worker Type

Regular


Job Description

Summary

We are seeking detail-oriented Foreign Language Annotators to support the research, development, and evaluation of advanced analytic technologies. In this role, you will annotate and analyze English and foreign language data across text, video, image, and speech formats. You will work closely with data teams to prepare, curate, and maintain high-quality datasets according to strict annotation guidelines, directly enabling the advancement of next-generation analytical tools.

We are seeking proficiency in English as well as one or more of the following target languages: Arabic and Urdu. This is a part time position.

Key Responsibilities

  • Annotate and analyze video, image, speech, and text data in English and target foreign languages.

  • Identify, prepare, and curate relevant datasets for machine learning and technological evaluation.

  • Consistently apply technical annotation guidelines to ensure data integrity and high production standards.

  • Conduct transcription, translation, and linguistic analysis across various media types.

  • Maintain rigorous quality control across annotated datasets to meet production benchmarks.

  • Collaborate with technical teams and research analysts to refine data annotation processes.

Basic Qualifications

  • Strong written and verbal fluency in English, alongside proficiency in one or more required languages (Arabic and Urdu).

  • Exceptional analytical skills, high attention to detail, and strong organizational abilities.

  • Proven ability to work both independently and collaboratively within a fast-paced environment.

  • An active TS/SCI with Polygraph

Preferred (Nice to Have) Qualifications

  • Background in linguistic analysis, foreign language translation, speech transcription, or data annotation.

  • Familiarity with annotation tools and data analysis methodologies in a defense, intelligence, or technology research setting.

Hourly Rate: $70/hour

The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

ITAR Requirement:

This position requires access to information that is subject to compliance with the International Traffic Arms Regulations ("ITAR") and/or the Export Administration Regulations ("EAR"). In order to comply with the requirements of the ITAR and/or the EAR, applicants will be asked to provide specific documentation to verify U.S. person status under the ITAR and the EAR. A "U.S. person" according to their definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee, or asylee. See 22 CFR 120.15. Some positions will require current U.S. Citizenship due to contract requirements.

Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: http://www.avinc.com/myavbenefits.

We also encourage you to review our company website at http://www.avinc.com to learn more about us.

Principals only need apply. NO agencies please.

Who We Are

Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC.

Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed.

What We Do

Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition.

We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data,sexual orientation, gender identity or other legally protected status.

ITAR


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