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Remote Amazon Data Annotation Jobs in Sacramento, CA

Remote Amazon Data Annotation information

What is a remote Amazon data annotation job?

Remote Amazon Data Annotation jobs involve labeling, categorizing, or tagging data such as images, text, or audio to help train machine learning models used by Amazon. Employees work from home using specialized tools to ensure accuracy and consistency in the data provided. These roles often require attention to detail, the ability to follow guidelines, and sometimes specific domain knowledge depending on the project. Data annotation is essential for improving the performance of AI systems in tasks like product recommendations, voice recognition, and search algorithms. These roles may be full-time, part-time, or project-based, offering flexibility for remote workers.

What skills and qualifications are needed for a remote Amazon data annotation specialist?

To thrive as a Remote Amazon Data Annotation Specialist, you need strong attention to detail, analytical thinking, and familiarity with data labeling concepts, often supported by a high school diploma or relevant experience. Competence with web-based annotation tools, cloud-based platforms, and sometimes Amazon-specific data systems is typically required. Diligence, consistency, effective communication, and the ability to work independently are valuable soft skills in this role. These skills and qualities are important to ensure high-quality, accurate data labeling that supports effective machine learning and AI model development.

What are common challenges faced by remote Amazon data annotation specialists and how can they be addressed?

Remote Amazon Data Annotation specialists often encounter challenges such as maintaining consistency and accuracy across large volumes of data, managing repetitive tasks, and staying engaged while working independently. To address these, it's important to develop a strong attention to detail, utilize quality control tools provided by the platform, and take regular breaks to minimize fatigue. Additionally, staying connected with your team through regular check-ins and feedback sessions can help ensure alignment on annotation guidelines and improve overall performance.

What is the difference between Remote Amazon Data Annotation vs Remote Mechanical Turk Worker?

AspectRemote Amazon Data AnnotationRemote Mechanical Turk Worker
CredentialsNo formal certifications required, but attention to detail helpsNo formal certifications required, basic task understanding needed
Work EnvironmentRemote, flexible hours, online platformRemote, flexible hours, online micro-task platform
Employer & IndustryAmazon, e-commerce, AI training dataVarious clients, data labeling, surveys, research

Remote Amazon Data Annotation involves labeling data specifically for Amazon's AI and e-commerce needs, often requiring attention to detail. Mechanical Turk workers perform a variety of micro-tasks across industries. While both are remote and flexible, data annotation is more specialized for AI training, whereas Mechanical Turk offers broader task types.

What are popular job titles related to Remote Amazon Data Annotation jobs in Sacramento, CA?

For Remote Amazon Data Annotation jobs in Sacramento, CA, the most frequently searched job titles are:

What cities near Sacramento, CA are hiring for Remote Amazon Data Annotation jobs?

Cities near Sacramento, CA with the most Remote Amazon Data Annotation job openings:

Infographic showing various Remote Amazon Data Annotation job openings in Sacramento, CA as of June 2026, with employment types broken down into 69% Full Time, 25% Part Time, and 6% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Content & Experience Evaluator - Media Specialist : 26-02636

Akraya Inc.

Sacramento, CA • On-site, Remote

$60 - $70/hr

Temporary

Posted 4 days ago


Job description


Primary Skills: Content Analysis [advanced], Data Annotation [advanced], AI Evaluation [intermediate], Media Knowledge [advanced], Spanish Fluency [preferred]
Contract Type: W2
Duration: 6+ Months with possible extension
Location: Remote
Pay Range: $60-$65/hr. on W2
Job Summary:
This role involves assessing and improving AI-driven member experiences by evaluating content datasets. You will apply your deep understanding of visual media to rate, annotate, and review content, ensuring accuracy and consistency in AI model training. Your work will directly enhance how users discover and interact with films and series through intelligent platforms.
Key Responsibilities:
  • Rate and annotate creative content for AI model training.
  • Apply expert judgment to capture content nuances and context.
  • Validate datasets for AI and machine learning workflows.
  • Identify patterns in annotations impacting model performance.
  • Document evaluation rationale clearly and concisely.

Must-Have Skills:
  • Proven experience in media evaluation or content labeling.
  • Deep knowledge of film and series across genres and markets.
  • Strong analytical and communication skills.

Domain / Industry Experience: Candidates should possess at least 4-5 years of professional experience in the media industry, with a strong understanding of the global streaming landscape and visual entertainment.
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001