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Remote Data Research Jobs in New York (NOW HIRING)

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

Research new techniques and frameworks for NLP tasks * Design new experiments for data abstraction and categorization of sentences/paragraphs * Work with our lawyers to review initial results and ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Initio Capital

ETA Research Analyst

New York, NY · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Initio Capital

ETA Research Associate

New York, NY · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Initio Capital

ETA Research Analyst

New York, NY · Remote

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

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$10

$37

$85

How much do remote data research jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote data research in New York is $37.77, according to ZipRecruiter salary data. Most workers in this role earn between $18.66 and $50.72 per hour, depending on experience, location, and employer.

What is a remote data research?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the typical daily responsibilities of a remote data research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What are the key skills and qualifications needed to thrive in remote data research, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

What are the most commonly searched types of Data Research jobs in New York?

The most popular types of Data Research jobs in New York are:

What are popular job titles related to Remote Data Research jobs in New York?

For Remote Data Research jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Data Research jobs in New York look for?

The top searched job categories for Remote Data Research jobs in New York are:

What cities in New York are hiring for Remote Data Research jobs?

Cities in New York with the most Remote Data Research job openings:

Remote Data Research jobs near you
Infographic showing various Remote Data Research job openings in New York as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% Remote job distribution, with an average salary of $78,552 per year, or $37.8 per hour.

Sr. Data Researcher || 100% REMOTE

GD Resources LLC

Manhattan, NY • On-site, Remote

$140K - $160K/yr

Full-time

Posted 11 days ago

Job description

Job Title - Sr. Data Researcher
Location - 100% REMOTE
Base Salary - $140,000 - $160,000
JOB #. 83483208
Industry: Education / Training / Libraries
Job Category: Information Technology - Business Intelligence
*** Client Screening Questions ***
1- Do you have Ph. D?
2- Do you have background in relational databases, big data systems, and data analytic systems?
3- Are you familiar with git and project management tools, such as JIRA ?
Ideal Candidate
PhD in Computer Science, or similar fields
Background in relational databases, big data systems, and data analytic systems
Expertise in data management, data cleaning, distributed systems, database storage engines, query processing and query optimization, and applied data science
Job Details:
We are interested in a variety of topics including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogenous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, natural language processing and big data systems including systems' concerns such as: resource management, storage, caching, query processing, query optimization, security, and privacy.
Key Responsibilities:
Investigate heterogenous data management techniques and polystore systems, including the application of AI & machine learning techniques to foundational data management problems including data quality, data profiling, data integration and schema matching.
Develop tools and frameworks to enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio and video.
Create distributed data processing architectures that leverage "compute at the edge" to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
Work with GEIS researchers to understand data-related opportunities in peer researchers' domains such as applied AI and machine learning in Audio / Video domains.

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