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Remote Entry Level Data Annotation Jobs in New York

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 ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Run data analysis on our dataset to design potential rules for annotation. * Improve the ... Due to the remote nature of this role, we are unable to provide visa sponsorship.

Mercor

Network Specialist - Fully Remote

New York, NY · Remote

$50 - $70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

MLabs

Research Crawling Engineer

New York, NY · On-site +1

$100K - $130K/yr

Remote - Must have a 6 hour overlap with EST Remote Full-time Compensation: $100K - $130K We are ... Develop robust pipelines for data cleaning, deduplication, filtering, and normalization. * Build ...

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Remote Entry Level Data Annotation information

What are the key skills and qualifications needed to thrive as a Remote Entry Level Data Annotation specialist, and why are they important?

To thrive as a Remote Entry Level Data Annotation specialist, you need strong attention to detail, basic computer literacy, and a high school diploma or equivalent. Familiarity with annotation platforms, data labeling tools, and sometimes basic spreadsheet software is typically required. Effective time management, communication, and the ability to follow precise instructions help candidates excel in this role. These skills ensure accurate, high-quality data labeling, which is crucial for training reliable machine learning models.

What is the difference between Remote Entry Level Data Annotation vs Remote Data Labeling Specialist?

AspectRemote Entry Level Data AnnotationRemote Data Labeling Specialist
CredentialsBasic computer skills, attention to detailSimilar, often no formal certifications required
Work EnvironmentRemote, flexible hoursRemote, often part-time or freelance
Industry UsageAI, machine learning, tech companiesAI, autonomous vehicles, tech firms
Search IntentEntry-level data annotation jobsData labeling roles for AI projects

Remote Entry Level Data Annotation and Remote Data Labeling Specialist roles are similar in credentials and work environment, both serving AI and machine learning industries. The main difference lies in terminology used by employers and job seekers, with 'Data Labeling Specialist' often emphasizing more specialized tasks. Both roles are suitable for individuals seeking remote, entry-level positions in data preparation for AI applications.

What are some common challenges faced by remote entry-level data annotators, and how can they be managed?

Remote entry-level data annotators often encounter challenges related to maintaining focus and productivity while working independently, as well as ensuring consistency and accuracy in their annotations. To manage these challenges, it's helpful to establish a clear daily routine, set up a dedicated workspace, and actively communicate with team leads or supervisors for guidance. Utilizing collaboration tools and regularly reviewing project guidelines can also help maintain annotation quality and keep workflow on track.

What is a Remote Entry Level Data Annotation job?

A Remote Entry Level Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video from a remote location. These roles are crucial for training machine learning algorithms, as annotated data helps improve the accuracy of artificial intelligence models. Entry-level positions typically require attention to detail and basic computer skills but do not usually require prior experience or specialized knowledge. Working remotely allows you to perform these tasks from home or any location with internet access.
What are the most commonly searched types of Remote Data Annotation jobs in New York? The most popular types of Remote Data Annotation jobs in New York are:
What are popular job titles related to Remote Entry Level Data Annotation jobs in New York? For Remote Entry Level Data Annotation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Annotation jobs in New York look for? The top searched job categories for Remote Entry Level Data Annotation jobs in New York are:
What cities in New York are hiring for Remote Entry Level Data Annotation jobs? Cities in New York with the most Remote Entry Level Data Annotation job openings:
Remote Entry Level Data Annotation jobs near you
Infographic showing various Remote Entry Level Data Annotation job openings in New York as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Temporary. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Copy of Senior Financial Analyst (CFA Level 3 Required)

Lifted, an Upwork Company™

New York, NY • On-site, Remote

$93K - $116K/yr

Contractor

Posted 17 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