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Remote Data Annotation Jobs in Byram, CT (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 Data Annotation information

What are the key skills and qualifications needed to thrive in the Remote Data Annotation position, and why are they important?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

How to make $1000 a week remote?

Remote data annotation jobs typically pay per task or hour, with earnings varying based on experience, task complexity, and volume. To reach $1000 weekly, workers often need to complete a high number of tasks consistently, develop strong attention to detail, and use efficient tools or platforms that offer higher-paying projects. Building a reputation and acquiring specialized skills can also increase earning potential in this field.

Is data annotation real or fake?

Data annotation is a legitimate job involving labeling data such as images, text, or audio to train machine learning models. It requires attention to detail and familiarity with annotation tools, and it is widely used in AI development. The work is real and essential for creating accurate AI systems.

What are the typical daily tasks for someone working in Remote Data Annotation?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is a Remote Data Annotation job?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

Does data annotation actually pay?

Data annotation jobs, including remote roles, typically pay hourly or per task rates that can range from a few cents to several dollars per annotation, depending on the complexity and platform. Many remote data annotation positions offer consistent pay, with some requiring basic skills in data labeling tools and attention to detail. Earnings can vary based on experience, the employer, and the volume of work completed.

What is the best data annotation company to work for?

There is no definitive best data annotation company, as opportunities vary based on factors like pay, work environment, and project types. Many companies in the industry offer remote positions with flexible schedules, and job seekers should research company reviews and requirements such as attention to detail and familiarity with annotation tools. Evaluating factors like pay rates, task variety, and company reputation can help identify suitable employers for data annotation roles.
What cities near Byram, CT are hiring for Remote Data Annotation jobs? Cities near Byram, CT with the most Remote Data Annotation job openings:
Remote 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