1

Freelance Amazon Data Annotation Jobs (NOW HIRING)

No prior AI or data annotation experience required. Nice to Have Experience with data annotation ... Freelance autonomy with the structure of meaningful, high‐impact work. Gain rare, first‐hand ...

... data annotation experience required Nice to Have Experience with data annotation, evaluation ... work when and where it suits you Freelance autonomy with the structure of meaningful ...

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

Masters Degree or PhD Preferred Prior experience with data annotation, data quality, or evaluation ... Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension.

New

Master's Degree or PhD Preferred Prior experience with data annotation, data quality, or evaluation ... Freelance perks: autonomy, flexibility, and global collaboration. Potential for contract extension.

Prior experience with data annotation, content evaluation, or quality review workflows ... Freelance perks: autonomy, variety, and global collaboration * Expand your expertise into the ...

Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their ... Lead human annotation initiatives and model evaluation audits to ensure data quality and relevance

$23/hr

About the Role Annotation is what helps AI make sense of the world. As an annotator, you may be ... Carefully review provided data (text, images, or videos) * Label or classify content based on ...

next page

Showing results 1-20

Freelance Amazon Data Annotation information

See salary details

$11

$20

$31

How much do freelance amazon data annotation jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for freelance amazon data annotation in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is the difference between Freelance Amazon Data Annotation vs Freelance Image Labeler?

AspectFreelance Amazon Data AnnotationFreelance Image Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote, flexible hoursRemote, flexible hours
Industry UsageE-commerce, AI training datasetsAI training datasets, computer vision projects
Search & Comparison IntentUnderstanding data annotation roles for AmazonComparing image labeling jobs for AI training

Freelance Amazon Data Annotation involves labeling data specifically for Amazon's platform, often focusing on product images, reviews, or metadata. Freelance Image Labeler typically labels images for AI training across various industries. While both roles require attention to detail and remote work, Amazon Data Annotation is more specialized for e-commerce data, whereas Image Labeling covers broader AI applications.

More about Freelance Amazon Data Annotation jobs
What cities are hiring for Freelance Amazon Data Annotation jobs? Cities with the most Freelance Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Freelance Amazon Data Annotation jobs? States with the most job openings for Freelance Amazon Data Annotation jobs include:
Infographic showing various Freelance Amazon Data Annotation job openings in the United States as of May 2026, with employment types broken down into 18% Full Time, 32% Part Time, 48% Temporary, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Applied Physics

Alignerr

Manhattan, NY • Remote

Full-time

Posted 29 days ago


Job description

About The Role What if your expertise in quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical universe? We're looking for PhD-level Applied Physicists to stress-test cutting‐edge Large Language Models — exposing the gaps, hallucinations, and reasoning failures that occur when AI tries to grapple with the fundamental laws of nature. Applied Physics — AI Data Trainer This is a fully remote, flexible contract role built for researchers and scientists who want to do meaningful, intellectually rigorous work on their own schedule.

No prior AI experience required — your deep domain knowledge is what matters. Job Details Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Design Advanced Physics Problems — craft complex, open‐ended problems at PhD qualifying exam level, requiring multi‐step logical reasoning, mathematical derivation, and first‐principles thinking across subfields like quantum mechanics, electrodynamics, statistical mechanics, and classical mechanics. Author Rigorous Ground‐Truth Solutions — develop precise, step‐by‐step "golden responses" where every physical constant, unit conversion, and logical transition is held to the highest standard of scientific accuracy.

Audit AI Reasoning — evaluate AI‐generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary conditions, or other fundamental principles. Provide Structured Feedback — document failure modes clearly and deliver actionable feedback that helps AI systems develop genuinely physics‐informed reasoning. Work Independently — complete task‐based assignments asynchronously, on a schedule that works for you.

Who You Are Holds a PhD (completed or near‐final stage) in Applied Physics, Physics, Engineering Physics, or a closely related field. Mastery across the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics. Exceptional analytical writing ability — you can explain complex derivations and physical phenomena with clarity, precision, and structure.

Uncompromising attention to detail when it comes to units, scientific notation, mathematical logic, and physical consistency. Self‐directed and reliable when working independently. No prior AI or data annotation experience required.

Nice to Have Experience with data annotation, scientific dataset evaluation, or quality review workflows. Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL. Background in research involving simulation, modeling, or experimental physics.

Familiarity with AI tools or language models as an end user. Why Join Us Work on cutting‐edge AI projects alongside leading AI research labs. Fully remote and flexible — work when and where it suits you.

Apply your PhD‐level expertise to problems that genuinely challenge you intellectually. Freelance autonomy with the structure of meaningful, high‐impact work. Gain rare, first‐hand exposure to how frontier AI models are trained and evaluated.

Potential for ongoing work and contract extension as new projects launch. #J-18808-Ljbffr