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

Gartner

Data Analyst

Stamford, CT · On-site +1

We are looking for a Data Analyst who has a passion for analytical problem solving to be part of ... Gartner offers a hybrid, flexible environment, with remote work that allows associates great ...

Angenex

Remote Junior Data Analyst

Paterson, NJ · Remote

Provide essential support as a Junior Data Analyst, offering valuable insights for data-driven decision-making, primarily concentrating on retention marketing strategies. Collect, analyze, and ...

Recidiviz

Data Analyst

New York, NY · On-site +1

$97K/yr

Remote, New York City, or Oakland, CA * Travel is encouraged approximately once every 6 months to ... Our Data Analysts work with diverse data - criminal justice data both raw and processed from across ...

Jobsultant Solutions

Senior Data Analyst (Remote)

Yonkers, NY · Remote

$89K - $112K/yr

The data analysts make up a critical component of our client implementation team, as Solovis clients need good historical data to maximize the power of the Solovis platform. Our Data Analysts embrace ...

World Insurance Associates LLC

Data Analyst

Iselin, NJ · On-site +1

$95K - $110K/yr

Identify new data sources that would be useful for data analytics. * Build and maintain custom ... Remote Work Opportunity About World Investment Advisors World Investment Advisors (formerly ...

Tremendous

Senior Data Analyst

New York, NY · Remote

$175K - $225K/yr

We're a fully remote, high-documentation, low-meeting culture, which means more time for what ... About the role We are hiring an experienced data analyst to partner with our internal stakeholders ...

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

About the Role: AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data ... Ability to work seamlessly with a highly technical remote data team (India) while acting as the ...

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Remote Data Annotation Analyst information

How does a remote data annotation analyst typically collaborate with team members and ensure consistent labeling standards?

As a Remote Data Annotation Analyst, you’ll frequently work within a distributed team, using collaboration tools such as Slack, project management platforms, and shared annotation guidelines. Regular virtual meetings and feedback sessions help ensure everyone applies labeling standards consistently and resolves ambiguities. It’s common to review peer annotations and participate in quality assurance checks, promoting a culture of accuracy and continuous improvement. Clear communication and attention to detail are essential for maintaining high-quality annotated datasets across the team.

What is a remote data annotation analyst?

Remote Data Annotation Analysts are professionals who label, categorize, or tag data—such as images, text, audio, or video—from a remote location. Their work helps train machine learning algorithms by providing structured datasets that computers can learn from. These analysts use specialized tools to identify relevant features in raw data, ensuring accuracy and consistency. The role often requires attention to detail, basic technical skills, and the ability to follow specific guidelines or instructions. This position is commonly found in industries like artificial intelligence, autonomous vehicles, and natural language processing.

What is the difference between Remote Data Annotation Analyst vs Remote Data Labeler?

AspectRemote Data Annotation AnalystRemote Data Labeler
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentHome-based, flexible hoursHome-based, flexible hours
Industry UsageAI, machine learning, data scienceAI, machine learning, data science
Job FocusAnalyzing and verifying labeled data, quality controlLabeling data, annotating images, text, or audio

The main difference is that Remote Data Annotation Analysts focus on verifying and ensuring the quality of labeled data, often involving analysis and review, while Remote Data Labelers primarily perform the task of labeling or annotating raw data. Both roles are essential in AI development and share similar work environments and skill requirements, but their specific responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a remote data annotation analyst?

To thrive as a Remote Data Annotation Analyst, you need strong attention to detail, analytical thinking, and a high school diploma or equivalent, with many roles preferring experience in data-related tasks. Familiarity with data annotation platforms (like Labelbox or AWS SageMaker Ground Truth) and basic understanding of data management tools are typically required. Excellent time management, self-motivation, and clear communication help analysts manage remote workloads and collaborate effectively with distributed teams. These skills ensure accurate, high-quality annotated data essential for training and validating machine learning models.
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Remote Data Annotation Analyst jobs near you

Data Markets Strategy Analyst

Initio Capital

New York, NY • Remote

Full-time

Re-posted 2 days ago

Job description

ABOUT INITIO CAPITAL

Initio Capital is hiring for this role and related opportunities across consulting, finance, product, software, AI, operations, market research, and growth-focused workstreams.

THE ROLE

As a Data Markets Strategy Analyst, you will help identify promising markets, companies, products, operators, and investment or growth opportunities. You will turn ambiguous information into clear research, structured analysis, prioritized target lists, and practical recommendations.

This is a remote, flexible role for candidates who are analytical, commercially curious, and comfortable moving quickly across business, finance, technology, and strategy topics.

WHAT YOU MAY WORK ON
  • Research companies, markets, industries, products, and business models.
  • Build lead lists, opportunity maps, investment screens, and strategic summaries.
  • Analyze growth signals, competitive positioning, financial context, and operational needs.
  • Prepare concise notes that help teams decide which opportunities are worth pursuing.
WHO THIS IS FOR

This is a strong fit for candidates interested in consulting, finance, investment research, product strategy, software, AI/data, business operations, corporate development, private markets, or entrepreneurship.

COMPENSATION

Compensation varies by project and experience. Many roles are flexible, remote, and project-based.