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Freelance Machine Learning Data Annotation Jobs (NOW HIRING)

Apple

Machine Learning Data Engineer

Cupertino, CA

$181K - $318K/yr

Description We are seeking a highly experienced and strategic Machine Learning Data Engineer to drive our machine learning data with a strong focus on quality. In this role, you will transform ...

Mercor

Data Scientist | Upto $100/hr

New York, NY · Remote

$100/hr

... experience in Machine Learning , Data Science , Software Engineering , Computer Science ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Trimble

Machine Learning Data Scientist

Lake Oswego, OR · On-site

$122K - $165K/yr

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

Trimble

Machine Learning Data Scientist

Westminster, CO · On-site

$122K - $165K/yr

Essential Skills & Experience * 5+ years of expertise in data science or engineering, specifically building and deploying predictive machine learning models. * Proficiency in Python and SQL for data ...

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All JobsFreelance Machine Learning Data Annotation Jobs

Freelance Machine Learning Data Annotation information

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$12

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$35

How much do freelance machine learning data annotation jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for freelance machine learning data annotation in the United States is $21.87, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $25.00 per hour, depending on experience, location, and employer.

What is the difference between Freelance Machine Learning Data Annotation vs Data Labeler?

AspectFreelance Machine Learning Data AnnotationData Labeler
CredentialsBasic understanding of annotation tools, sometimes with specialized domain knowledgeTypically no formal credentials required
Work EnvironmentRemote, flexible, project-basedOften remote or in-house, depending on employer
Industry UsageUsed in AI/ML development for training datasetsUsed in data preparation for various industries, including AI
Search/Comparison IntentFocuses on freelance opportunities, project scope, and toolsMore general, often employed by companies for data labeling tasks

Freelance Machine Learning Data Annotation involves independently completing annotation tasks for AI models, often with specialized tools and domain knowledge. Data Labelers typically perform similar tasks but may work as employees or contractors within a company. The main difference lies in the freelance nature and project-based work of data annotation roles.

What are the key skills and qualifications needed to thrive as a Freelance Machine Learning Data Annotation specialist, and why are they important?

To thrive as a Freelance Machine Learning Data Annotation specialist, you need attention to detail, basic knowledge of data labeling concepts, and familiarity with machine learning data types. Experience with annotation tools (such as Labelbox, RectLabel, or CVAT) and understanding of data privacy protocols are commonly required. Strong communication, time management, and the ability to follow complex guidelines are essential soft skills for delivering accurate results. These skills ensure high-quality, consistent data annotation, which is critical for effective machine learning model training and performance.

What is freelance machine learning data annotation?

Freelance machine learning data annotation involves labeling or tagging data—such as images, text, audio, or video—to help train machine learning models. As a freelancer, you work independently or through platforms, completing specific annotation tasks assigned by companies or researchers. This work is essential because high-quality labeled data is required for AI systems to learn and make accurate predictions. Annotators may categorize images, transcribe speech, or highlight relevant information in documents. The flexibility of freelancing allows you to choose projects and work remotely.

What are some common challenges faced by freelance machine learning data annotators, and how can they be managed?

Freelance machine learning data annotators often encounter challenges such as maintaining data accuracy, handling repetitive tasks, and understanding complex annotation guidelines. Staying organized and regularly reviewing project instructions can help ensure consistency and quality in annotations. Additionally, communicating proactively with project managers and utilizing annotation tools efficiently can help manage workload and clarify uncertainties. Building expertise in different data types (text, image, audio) also allows annotators to diversify their projects and reduce monotony.
More about Freelance Machine Learning Data Annotation jobs
What cities are hiring for Freelance Machine Learning Data Annotation jobs? Cities with the most Freelance Machine Learning Data Annotation job openings:
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Freelance Machine Learning Data Annotation jobs near you
Infographic showing various Freelance Machine Learning Data Annotation job openings in the United States as of June 2026, with employment types broken down into 50% As Needed, and 50% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,483 per year, or $21.9 per hour.

Data Annotator for AI Models - English (United States)

RWS TrainAI

Columbus, OH • On-site, Remote

$53 - $68.50/hr

Full-time

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

Job description

Location: Remote working in the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI
Work Schedule: Full time, 8 AM to 5 PM PST time (Monday to Friday)
Experience: previous experience in data annotation or content review is a plus
Education: Bachelor's degree (or equivalent experience) required
Contract duration: End of September, 2026
Does this sound like you?
Are you looking for remote, work-from-home jobs where you can set your own schedule? Are you interested in helping to improve the reliability of today's AI models? If yes, then this opportunity is for you!
What we are looking for!
RWS Group is looking for US-based Data Annotators to annotate, evaluate and curate text, video and geographic data. This information will be used to train and improve generative AI and machine learning models.
Responsibilities:
- Annotate data accurately and consistently according to predefined guidelines in the required language.
- Perform basic research as needed to ensure accurate annotation.
- Provide feedback regarding observed patterns in the annotated data and contribute to continuous improvement of the data annotation process.
- Maintain high attention to detail and quality throughout the annotation process.
- Continuous learning and adaptability; willingness to provide feedback and ask questions.
(Training will be provided post-hire).
Work benefits:
- Work from home, full time
- Work-life balance - maintain your lifestyle while you work
- Timely payments made directly to your bank account
- Equipment will be provided
Job Requirements
- Excellent comprehension and written communication skills in English. Additional language knowledge is a plus.
- Located in any of the following US States: CA, CO, DE, FL, GA, IL, IN, KS, MA, MN, NC, NE, NH, NJ, NM, NY, OK, OR, PA, TN, TX, WA, WI.
- Ability to work full time, from 8 AM to 5 PM PST time (Monday to Friday), no exceptions.
- Bachelor's degree or equivalent work experience required.
- Familiarity with Excel or Google Sheets, including basic formulas.
- Good general communication skills.
- Detail-oriented with the ability to understand and follow instructions.
- Ability to meet deadlines.
- Responsible, reliable, and communicative.
Preferred Qualifications:
- Familiarity with the Appen Annotation Platform (ADAP) and machine learning principles.
- A broad range of interests with specific areas of expertise is a plus.
- Experience in a professional work environment.
- Previous experience with data annotation tasks.

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