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From Home Ai Data Trainer Amazon Jobs (NOW HIRING)

Associated Builders and Contractors (ABC)

$55 - $110/hr

Environmental Engineering - AI Data Trainer About The Role We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models -- and we need

New

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

As a Data/AI Architect, you'll design and build data-driven cloud architectures on AWS - from S3 data lakes and Glue ETL pipelines to data warehouses and RAG-powered AI systems. You'll own the full

Syracuse University

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

Posting Details Posting Details Job # 042947 Department Code 20701-9701 Department Information Technology Services Job Title AI Data Engineer Location Syracuse, NY Campus Syracuse, NY Commitment to

Aitopics

$130 - $170/hr

Data Architect (Remote from Anywhere in CO) * Advise on data strategy and architecture * Architect prototype research and recommend solutions * Assess data initiatives for compliance * Coordinate

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How much do from home ai data trainer amazon jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for from home ai data trainer amazon in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What is a from home AI data trainer at Amazon?

A From Home AI Data Trainer at Amazon is responsible for helping improve artificial intelligence systems by labeling, annotating, and evaluating data from home. These trainers work remotely to provide feedback on AI outputs, such as reviewing machine-generated responses or categorizing data, to enhance the performance of Amazon's AI technologies. The role typically involves following specific guidelines and using proprietary tools to ensure data accuracy and quality. It is suitable for individuals seeking flexible, remote work with the opportunity to contribute to AI development.

How does a from home AI data trainer at Amazon typically collaborate with other team members while working remotely?

As a From Home AI Data Trainer at Amazon, collaboration with team members often takes place through digital channels such as video meetings, chat platforms, and project management tools. You will regularly communicate with machine learning engineers, data scientists, and project managers to clarify data labeling guidelines, discuss feedback, and ensure the quality of training datasets. The remote environment emphasizes clear written communication and proactive participation in virtual team discussions. Building strong relationships with colleagues and promptly addressing questions or concerns helps keep projects on track and ensures consistent data quality.

What are the key skills and qualifications needed to thrive as a from home AI data trainer at Amazon?

To thrive as a Work-from-Home AI Data Trainer at Amazon, you typically need strong analytical skills, attention to detail, and a background in data entry or linguistics, often supported by a relevant bachelor’s degree. Familiarity with data labeling tools, cloud-based platforms, and basic spreadsheet software is essential, and experience with annotation systems or Amazon's proprietary tools can be advantageous. Excellent communication, time management, and the ability to follow complex guidelines make a candidate stand out in this remote role. These skills ensure high-quality, accurate data annotation and training, which are critical for developing reliable AI models.

What is the difference between From Home Ai Data Trainer Amazon vs From Home Ai Data Analyst Amazon?

AspectFrom Home Ai Data Trainer AmazonFrom Home Ai Data Analyst Amazon
Primary RoleTraining AI models by labeling and annotating dataAnalyzing data to generate insights and reports
Required SkillsAttention to detail, basic understanding of AI/ML, data labelingData analysis, statistical skills, proficiency in Excel/SQL
Work EnvironmentRemote, flexible hours, task-basedRemote or office, project-based or ongoing analysis
Common CertificationsNone required, but familiarity with AI tools helpfulData analysis certifications (e.g., Microsoft, Google) beneficial

While both roles are remote and involve working with data, From Home Ai Data Trainers focus on preparing and labeling data to train AI models, whereas From Home Ai Data Analysts interpret data to support business decisions. Understanding these differences helps job seekers find the right fit based on skills and interests.

Are these from home AI data trainer Amazon jobs real?

From Home AI Data Trainer Amazon jobs are legitimate roles that involve training artificial intelligence systems by reviewing and labeling data remotely. These positions typically require attention to detail, computer skills, and sometimes specific training or certifications. However, job seekers should verify listings directly through official Amazon channels to avoid scams.

Do from home AI data trainers at Amazon work from home?

Yes, many AI data trainers at Amazon work from home, especially those involved in data labeling and quality assurance tasks. These roles often require a computer, internet connection, and attention to detail, and they typically offer flexible schedules. However, specific job requirements and remote work policies may vary by position and team.

How much do from home AI data trainers make?

From home AI data trainers typically earn between $12 and $20 per hour, depending on experience, the complexity of tasks, and the employer. These roles often require attention to detail and basic computer skills, with some positions offering part-time or flexible schedules.
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From Home Ai Data Trainer Amazon jobs near you
Infographic showing various From Home Ai Data Trainer Amazon job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

Environmental Engineering - AI Data Trainer

Associated Builders and Contractors (ABC)

On-site

$55 - $110/hr

Other

Posted 3 days ago

New

Job description

Environmental Engineering – AI Data Trainer

About The Role

We're partnering with the world's leading AI research teams to build smarter, more technically rigorous AI models — and we need environmental engineers to help get there.

As an AI Data Trainer, you'll put your deep domain knowledge to work stress-testing and improving how advanced language models reason through real-world environmental engineering problems. From contaminant transport to hazardous waste remediation, your expertise will directly shape the reliability of AI systems used by engineers, researchers, and policymakers worldwide.

This is a fully remote, flexible contract role — work on your own schedule, on problems that matter.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design Advanced Technical Problems — Create challenging environmental engineering scenarios spanning contaminant transport, mass balance in treatment plants, hydrology, Life Cycle Assessments (LCA), and more
  • Author Gold-Standard Solutions — Develop rigorous, step-by‑step technical solutions — including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations — that serve as benchmark responses for AI training
  • Audit AI Outputs — Critically evaluate AI-generated remediation plans, environmental impact statements, and technical calculations for accuracy, safety, and regulatory compliance (EPA, ISO 14001, and others)
  • Sharpen AI Reasoning — Identify where AI reasoning breaks down — incorrect stoichiometry, missed secondary impacts, flawed unit conversions — and provide structured feedback that directly improves model performance
Who You Are
  • Pursuing or holding a Master's or PhD in Environmental Engineering, Civil Engineering (environmental focus), or a closely related field
  • Strong foundational knowledge in one or more core areas: aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation
  • Able to communicate complex technical and ecological concepts clearly and precisely in written form
  • Detail‑oriented — meticulous when it comes to unit conversions, chemical equations, and regulatory logic
  • Self‑motivated and comfortable working independently on technically demanding tasks
  • No prior AI experience required
Nice to Have
  • Experience with data annotation, data quality review, or evaluation systems
  • Familiarity with environmental modeling software (e.g., AERMOD, SWMM, or similar)
Why Join Us
  • Work on cutting‑edge AI projects alongside top AI research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance perks: autonomy, variety, and global collaboration
  • Get rare, hands‑on exposure to how large language models are trained and evaluated
  • Contribute to AI that could shape the future of environmental science and sustainability
  • Potential for ongoing work and contract extension
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