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Remote Amazon Data Annotation Jobs in New York (NOW HIRING)

Mercor

Legal Expert - Court Opinion Analyst

New York, NY · On-site +1

$55 - $135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Attorney

New York, NY · On-site +1

$55 - $135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Senior Attorney | Upto $135/hr

New York, NY · Remote

$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Senior Legal Analyst

New York, NY · On-site +1

$55 - $135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

Legal Analyst | Upto $135/hr

New York, NY · Remote

$135/hr

Remote Commitment: 15 hours/week Role Responsibilities * Review and annotate U.S. court opinions ... Prior experience in legal data annotation or AI/ML projects . * Familiarity with CourtListener

Mercor

AI Research Collaborator - PhD

New York, NY · Remote

$80 - $110/hr

Remote Role Responsibilities * Design challenging, real-world domain-specific problems in areas ... Preferred * Past experience in AI training , model evaluation, and data annotation. Resources ...

Alignerr

Machine Learning Engineer

Manhattan, NY · Remote

$154K/yr

Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ... Prior experience with data annotation, data labeling, or AI evaluation workflows * Familiarity with ...

Mercor

Senior Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

AI Researcher

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

AI Research Scientist - GenAI

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Subject Matter Expert

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Research And Development Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

Mercor

Postdoctoral Researcher

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Prior experience with data annotation, labeling, evaluation, or human feedback collection.

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Remote Amazon Data Annotation information

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 some 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 are Remote Amazon Data Annotation jobs?

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 are the key skills and qualifications needed to thrive as a Remote Amazon Data Annotation Specialist, and why are they important?

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 the most commonly searched types of Amazon Data Annotation jobs in New York? The most popular types of Amazon Data Annotation jobs in New York are:
What are popular job titles related to Remote Amazon Data Annotation jobs in New York? For Remote Amazon Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Amazon Data Annotation jobs in New York look for? The top searched job categories for Remote Amazon Data Annotation jobs in New York are:
What cities in New York are hiring for Remote Amazon Data Annotation jobs? Cities in New York with the most Remote Amazon Data Annotation job openings:
Remote Amazon Data Annotation jobs near you

Senior Financial Analyst (CFA Level 3 Required)

Lifted, an Upwork Company™

New York, NY • On-site, Remote

$93K - $116K/yr

Contractor

Posted 8 days ago

Job description

Company Description

An enterprise client in the AI/LLM space is seeking highly qualified finance professionals to support a short-term project focused on reviewing and structuring complex financial information. This initiative contributes to improving the accuracy and reliability of financial data used in advanced AI systems.

You'll work on tasks involving financial analysis, interpretation, and validation across a range of finance-related content.

    Job Description

    The client is looking for experienced finance experts with strong analytical capabilities and deep domain knowledge. This opportunity is ideal for professionals with backgrounds in:

    • Risk Management
    • Corporate Finance
    • Valuations
    • Investment Analysis
    • Financial Research or Data Quality Assurance

    What You'll Do:

    • Review and interpret complex financial statements, models, and investment-related content
    • Analyze and validate structured and unstructured financial data
    • Ensure accuracy, consistency, and quality of financial information
    • Apply domain expertise to support AI model evaluation and improvement
    • Deliver work within defined timelines during the engagement period
    Qualifications

    Requirements:

    • CFA Level 3 cleared (mandatory)
    • Strong expertise in finance domains such as Risk, Corporate Finance, or Valuations
    • Experience working with financial statements, models, or investment materials
    • High attention to detail and strong analytical thinking
    • Excellent written and verbal communication skills
    • Ability to commit to a short-term project (~2 weeks)

    Nice to Haves:

    • Experience in financial data validation, QA, or research
    • Familiarity with AI/LLM-related projects or data annotation
    • Experience working with both structured and unstructured datasets
    Additional Information
    • Short-term, project-based engagement (~2 weeks)
    • Remote work opportunity
    • Work with a global team across multiple regions
    • No guaranteed long-term engagement beyond the project duration

    Apply