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Freelance Ai Data Labeling Jobs (NOW HIRING)

Nvidia

Engineering Manager, Data Labeling Platform

AI Application Engineering: Architect and drive the implementation of next-generation auto-labeling applications that leverage multi-modal models-in-the-loop to dramatically reduce human labeling ...

Jobgether

$6 - $65/hr

This freelance opportunity is designed for investment professionals and knowledgeable finance ... Review how AI systems interpret financial data and determine whether their conclusions ...

Jobgether

$65/hr

You will contribute authentic, high-quality Romanian voice data used to improve the clarity ... remote freelance contractor. * Curiosity about AI and an interest in contributing professional ...

Jobgether

$6 - $65/hr

Our partner is looking for a Maltese Voice Actor - Freelance AI Trainer Project based in ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Jobgether

$6 - $65/hr

Our partner is looking for a Financial Institutions Specialist - Freelance AI Trainer Project based ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

Jobgether

$2 - $5/hr

... data annotation ... You will analyze video content, segment sequences, label observable actions, and verify AI ...

Prointegrate LLC

Be Seen First

Business Analyst - Data Annotator (USA) - Remote

Dallas, TX · Remote

$15 - $17/hr

Short-Term Contractor / Freelancer Engagement : Approximately 6-7 months (24-28 weeks) Start Date ... Previous experience in data annotation, data labeling, content review, quality assurance, or AI ...

Welo Data

Lead Gen AI Analyst

Santa Clara, CA · On-site +1

$50/hr

What We're Looking For * 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments. * 3+ years of experience ...

Welocalize

Polish Data Labeler

Manhattan, NY · On-site

$26 - $28/hr

... Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio ...

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Freelance Ai Data Labeling information

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How much do freelance ai data labeling jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for freelance ai data labeling in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

What is freelance AI data labeling?

Freelance AI data labeling involves working independently to annotate or tag data, such as images, text, audio, or video, to help train artificial intelligence and machine learning models. Freelancers are hired by companies or platforms to manually identify and categorize data so that algorithms can learn to recognize patterns and make accurate predictions. This work is essential for improving the accuracy and performance of AI systems in various applications, including self-driving cars, voice assistants, and content moderation. Typically, freelancers need attention to detail, basic technical skills, and sometimes domain-specific knowledge, depending on the project's requirements.

What are the key skills and qualifications needed to thrive as a freelance AI data labeler?

To thrive as a Freelance AI Data Labeler, you need strong attention to detail, basic understanding of machine learning concepts, and the ability to follow complex guidelines accurately, usually supported by a high school diploma or higher education. Familiarity with data annotation platforms, labeling tools (like Labelbox or Supervisely), and sometimes specific domain knowledge is often required. Excellent time management, reliability, and clear communication help freelancers stand out in delivering high-quality, consistent results. These skills ensure that labeled data is accurate and reliable, directly impacting the effectiveness of AI models and client satisfaction.

What are some typical challenges faced by freelance AI data labelers, and how can they be managed?

Freelance AI data labelers often encounter challenges such as maintaining accuracy while working with large volumes of repetitive data, understanding complex labeling guidelines, and managing tight deadlines across multiple clients. Effective strategies include regularly reviewing project instructions, using productivity tools to track progress, and seeking clarification from clients when uncertainties arise. Maintaining open communication with project managers and participating in feedback sessions can also help improve labeling quality and efficiency.

What is the difference between Freelance Ai Data Labeling vs Data Annotation Specialist?

AspectFreelance Ai Data LabelingData Annotation Specialist
CredentialsNone required, but familiarity with labeling tools helpsOften requires training or certification in annotation tools
Work EnvironmentRemote, flexible freelance projectsTypically employed by companies or agencies, sometimes remote
Employer & IndustryFreelance platforms, AI/ML industryTech companies, AI development teams
Search & Comparison IntentLooking for freelance labeling jobsSeeking full-time or contract annotation roles

Freelance Ai Data Labeling involves independently completing labeling tasks for various clients, offering flexibility and project-based work. Data Annotation Specialists often work within organizations or agencies, focusing on detailed annotation tasks as part of a team. Both roles require knowledge of labeling tools, but freelancers typically have more varied projects, while specialists may have more structured employment settings.

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Freelance Ai Data Labeling jobs near you
Infographic showing various Freelance Ai Data Labeling job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 33% In-person, and 67% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Data Labeling Associate Portuguese - Bilingual (Portugal)

Welo Data

Burlingame, CA

$34/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Job description

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide?
WHAT YOU’LL DO
• Execute Data labelling and annotation tasks across speech and voice datasets.
• Work with audio and language data, including transcription, categorization, and tagging.
YOU ARE A FIT IF YOU’RE…
• A Portuguese (Portugal) speaker with strong written communication skills
• Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred)
• A Bachelor's degree holder
PROJECT DETAILS
• Location: 100% Onsite (Bay Area, Seattle, NYC, or client-dependent locations)
• Employment Type: W2 Full-Time Employee
• Hours: 40 hours per week
• Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship available)
• Eligible Locations: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, and Boston
BENEFITS
• $34 per hour
• Paid Vacation (6 days)
• Paid Company Holidays
• Paid Sick Leave
• Employee Assistance Program
• Health Savings Account (HSA)
• 401(k) Retirement Plan
• Additional Voluntary Benefits (Life, Accident, Critical Illness, etc.)
ADDITIONAL BENEFITS (Upon Eligibility)
• Medical, Dental, and Vision Insurance
• Free Breakfast, Lunch, and Dinner (where applicable)
• Stocked Micro-Kitchens with Snacks and Beverages
• Commuter Benefits, Including Shuttles and Bike-to-Work Options
• Unique Campus Amenities Depending on Location

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.