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Online Data Research Jobs (NOW HIRING)

OpenAI

Software Engineer, Habitat (Online Data)

Seattle, WA · On-site

$230K - $385K/yr

About the team Online Data builds and operates Habitat, the single product surface of Online Data ... About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general ...

OpenAI

Software Engineer, Habitat (Online Data)

Seattle, WA · On-site

$130K - $156K/yr

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose ... They are seeking a Software Engineer to design and build core abstractions for their online ...

NYULMC

Senior (Data) Research Scientist

New York, NY · On-site

The Senior Research Scientist provides senior scientific, operational, and supervisory leadership ... We require applications to be completed online. View Know Your Rights: Workplace discrimination is ...

Ohio State University

Research Technician

Columbus, OH · On-site

$15.86 - $20.74/hr

... online data; recruits and schedules participants for research studies; assists with the implementation of research studies and established experimental protocols, including programming and ...

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Online Data Research information

Is 40 too late for data science?

Online Data Research roles often require strong analytical skills and familiarity with data tools, but age is not a barrier to entering data science. Many professionals successfully transition into data science at age 40 or later by gaining relevant certifications, programming skills, and experience. Continuous learning and practical projects can help overcome age-related concerns in this field.

How to get a job as an online researcher?

To get a job as an online researcher, develop strong research skills, proficiency in internet tools and databases, and attention to detail. Building a portfolio of research projects and gaining experience through freelance platforms or internships can improve your chances. Many roles require good communication skills and the ability to analyze and present data clearly.

What are the typical daily responsibilities of someone working in Online Data Research?

In an Online Data Research role, your daily activities may include searching for and gathering information from online databases, websites, and public records, then compiling, organizing, and validating that data for accuracy. You’ll often use spreadsheets, research platforms, or custom tools to analyze data trends and create reports for your team or stakeholders. Collaboration with project managers or other researchers to clarify data requirements or resolve discrepancies is also common. This work may be done independently or as part of a remote team, depending on the company structure.

What is an Online Data Research job?

An Online Data Research job involves gathering, analyzing, and interpreting information from various online sources. Professionals in this role use search engines, databases, and digital tools to collect relevant data for businesses, researchers, or marketing teams. Their work often includes verifying data accuracy, identifying trends, and compiling reports. Strong analytical skills, attention to detail, and proficiency in online research methods are essential for success in this role.

What is an online data researcher?

An online data researcher is a professional who collects, analyzes, and verifies data from various internet sources to support decision-making or research projects. They often use tools like spreadsheets, databases, and data analysis software and may need strong attention to detail and research skills.

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

To thrive in Online Data Research, you should possess strong analytical skills, attention to detail, and proficiency in gathering and interpreting data from various online sources, typically requiring at least a bachelor’s degree in a related field. Familiarity with data analysis tools like Microsoft Excel, Google Sheets, web scraping software, or databases—and certifications such as Google Data Analytics—can be advantageous. Excellent organizational abilities, effective written communication, and self-motivation are key soft skills for this role. These skills are crucial because they help ensure high-quality, accurate research results and effective collaboration in a remote or digital work environment.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills in data visualization, critical thinking, and domain knowledge that AI currently cannot fully replicate, making human expertise still valuable in the field.
More about Online Data Research jobs
What cities are hiring for Online Data Research jobs? Cities with the most Online Data Research job openings:
What are the most commonly searched types of Data Research jobs? The most popular types of Data Research jobs are:
What states have the most Online Data Research jobs? States with the most job openings for Online Data Research jobs include:
What job categories do people searching Online Data Research jobs look for? The top searched job categories for Online Data Research jobs are:
Online Data Research jobs near you
Infographic showing various Online Data Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.
Engineering Manager, Online Data Systems

Engineering Manager, Online Data Systems

OpenAI

San Francisco, CA • On-site

$325K - $405K/yr

Full-time

Posted 15 days ago

Job description

About the Team
The Online Data team builds and operates the core online database and indexing services for OpenAI's production AI applications, including supporting the explosive growth of ChatGPT, the #1 AI app in the world, and Codex, the fastest growing agentic development toolset in the world.
Our mission is to ensure the reliability, correctness, and scalability of our online data stack and to curate a comprehensive portfolio of services that matches the relentless ambition of OpenAI, enabling our product and research teams to build 0-100 without getting bogged down in the minutiae of multi-region, multi-cloud, exabyte-scale data infrastructure.
About the Role
We are seeking an Engineering Manager to lead our Online Data Systems team, responsible for our in-house database and indexing technology. This role is about shepherding a team of world-class engineers tasked with building and operating hyperscale data storage and retrieval technology.
You'll be overseeing the delivery of extremely challenging engineering work in areas like distributed query execution, multi-region federation, self-orchestrating and self-healing services, low-level performance optimization, and more.
There are few companies in the world building this kind of technology in-house at this scale where you'll still be getting in on the ground floor. Instead of being a cog in the machine spending months chasing small optimizations, you'll play a major part of shaping our future.
In this role, you will:
  • Build, lead, and grow high-performing infrastructure engineering teams.
  • Drive the evolution of OpenAI's in-house online data technologies, our core, hyper-scale database systems, indexing technologies, and vector search.
  • Anchor delivery around measurable reliability goals (SLOs, etc) to ensure system performance and resiliency is above reproach.
  • Champion pragmatic use of agent technology to amplify execution velocity.
  • Reduce operational toil and incident frequency through better abstractions, guardrails, and self-healing systems.

You might thrive in this role if you:
  • Have a truly insatiable spirit for operational excellence, demonstrated by having your hands-on in building and operating infrastructure with strict reliability, latency, and security requirements.
  • Have experience managing data-intensive software engineering teams in intense, demanding environments.
  • Bring deep hands-on understanding of database, indexing, storage, and distributed systems technologies.
  • Effectively modulate your technical engagement to create space for a highly technical team to lead and grow.
  • Have a demonstrable track record of hiring, developing, and retaining senior engineers.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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