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Remote Computer And Information Research Scientist Jobs

OpenRouter, Inc

Research Scientist

$250K - $285K/yr

MS or PhD in a quantitative field (machine learning, statistics, computer science, mathematics, computational linguistics, or similar). * Track record of original research, demonstrated by first ...

Pindrop

Research Scientist (Video)

PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial ... Remote-first environment - giving you flexibility and autonomy in how you structure your day.

ISEE

Research Scientist - Machine Learning

... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ... If you would like more information about how your data is processed, please contact us. apply for ...

ISEE

Research Scientist - Machine Learning

... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ... If you would like more information about how your data is processed, please contact us.

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... computer science, electrical engineering, or related fields/experience * Strong Python programming ... Experience with version control (e.g., Git) Additional Information Benefits: * Our careers benefits ...

Biohub

Research Scientist, AI

New York, NY · On-site +1

$214K - $375K/yr

PhD in computer science or a related field, or equivalent experience * Significant experience ... We will keep your interest on file, contact you as opportunities arise, and send you information ...

Biohub

Research Scientist, AI

Redwood City, CA · On-site +1

$214K - $375K/yr

PhD in computer science or a related field, or equivalent experience * Significant experience ... We will keep your interest on file, contact you as opportunities arise, and send you information ...

Astera Institute

$150K - $300K/yr

PhD in Computer Science, Electrical Engineering, Neuroscience, Physics, or a related quantitative ... Strong foundations in deep learning, graphical models, and information theory. * Coding Proficiency:

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$200K - $270K/yr

Job Requirements * PhD (or evidence of equivalent level of expertise) in Computer Science ... For more information on E-Verify, please visit www.e-verify.gov. We may use artificial intelligence ...

GenBio AI

Research Scientist, Applied Science

Palo Alto, CA · On-site +1

$200K - $270K/yr

Job Requirements * PhD (or evidence of equivalent level of expertise) in Computer Science ... For more information on E-Verify, please visit www.e-verify.gov. We may use artificial intelligence ...

MongoDB

Staff Research Scientist

Palo Alto, CA · On-site +1

Innovate in next-generation information retrieval and LLM agent paradigm * Collaborate closely with ... PhD degree in Computer Science or related field * A track record of coming up with new ideas or ...

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Remote Computer And Information Research Scientist information

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$90.5K

$132.5K

$143.5K

How much do remote computer and information research scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote computer and information research scientist in the United States is $132,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a remote computer and information research scientist?

Remote Computer and Information Research Scientists are professionals who study and solve complex problems in computing, often working from locations outside of a traditional office. They develop new technology, algorithms, and computing approaches, and their work can lead to advancements in fields like artificial intelligence, cybersecurity, and data science. By working remotely, they use digital collaboration tools to conduct research, write papers, and communicate with colleagues. Their roles typically require advanced degrees in computer science or related fields, and they often work for universities, government agencies, or private companies.

What are the key skills and qualifications needed to thrive as a remote computer and information research scientist?

To thrive as a Remote Computer and Information Research Scientist, you need advanced knowledge of computer science, mathematics, and research methodologies, typically backed by a master's or doctoral degree in a related field. Expertise with programming languages (such as Python, C++, or Java), machine learning frameworks, and data analysis tools is essential, along with familiarity with collaborative platforms and version control systems. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills, especially when collaborating virtually. These skills and qualities are vital for driving innovation, delivering research outcomes, and maintaining productivity in a remote, research-focused environment.

How do remote computer and information research scientists typically collaborate with colleagues and teams while working offsite?

Remote Computer and Information Research Scientists often use a combination of video conferencing, collaborative coding platforms, and shared documentation tools to work closely with other researchers, engineers, and stakeholders. Regular virtual meetings help align on project goals, share findings, and troubleshoot challenges. Despite the physical distance, strong communication and proactive updates are crucial for successful collaboration and ensuring that research progresses efficiently alongside distributed teams.

What is the difference between Remote Computer And Information Research Scientist vs Data Scientist?

AspectRemote Computer And Information Research ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, universities, tech companies, often in R&D settingsBusiness environments, tech firms, analytics departments, often in offices or remotely
Employer & Industry UsageResearch institutions, academia, R&D divisions of tech companiesCorporate, finance, healthcare, marketing, and tech industries

Remote Computer And Information Research Scientists focus on developing new algorithms and advancing computer science knowledge, often working in research settings. Data Scientists analyze and interpret complex data to help organizations make data-driven decisions. While both roles require strong technical skills and advanced degrees, their primary focus and work environments differ significantly.

More about Remote Computer And Information Research Scientist jobs

What cities are hiring for Remote Computer And Information Research Scientist jobs?

Cities with the most Remote Computer And Information Research Scientist job openings:

What are the most commonly searched types of Computer And Information Research Scientist jobs?

The most popular types of Computer And Information Research Scientist jobs are:

What states have the most Remote Computer And Information Research Scientist jobs?

States with the most job openings for Remote Computer And Information Research Scientist jobs include:

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The top searched job categories for Remote Computer And Information Research Scientist jobs are:

Remote Computer And Information Research Scientist jobs near you
Infographic showing various Remote Computer And Information Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $132,455 per year, or $63.7 per hour.

Research Scientist

OpenRouter, Inc

Remote

$250K - $285K/yr

Full-time

Re-posted 21 days ago

Job description

About OpenRouter
OpenRouter is the leading AI routing and infrastructure layer that developers and enterprises use to access, manage, and optimize the best large language models across providers without lock-in, capacity constraints, or unnecessary cost. We power the most advanced AI teams in the world by giving them the flexibility to move fast, scale confidently, and stay future-proof as models evolve.
As enterprise adoption of AI accelerates, OpenRouter sits at the center of how organizations operationalize LLMs across research, product, and production workloads.
About the Role
As a Research Scientist, you will conduct deep, original research that advances how the world understands, evaluates, and routes large language models. You'll work with one of the richest datasets in AI: billions of LLM generations spanning every major model, provider, and use case.
You will own and pursue a research agenda: designing experiments, developing evaluation frameworks, and producing work that shapes how models are compared, selected, and deployed. Your findings will inform OpenRouter's routing intelligence, public rankings, and the broader AI discourse.
Success in this role is measured by the quality and impact of your research, not by shipping production code or building dashboards. You'll collaborate with product and engineering teams, but your primary focus is depth and rigor.
What You'll Do
  • Own and pursue a research agenda focused on LLM evaluation, model quality, routing optimization, and AI usage patterns, contributing original insights that advance the field.
  • Design novel evaluation frameworks and benchmarks that go beyond standard leaderboards, using real-world generation data to capture how models actually perform across tasks and contexts.
  • Conduct large-scale empirical studies on LLM behavior: how models compare across providers, how performance changes over time, and how usage patterns reveal strengths and weaknesses.
  • Develop the statistical and mathematical foundations behind our routing systems, building the models and heuristics that power intelligent provider and model selection.
  • Identify opportunities to apply research findings to feed back into OpenRouter's product and platform.
  • Collaborate with external researchers, model providers, and the open-source community to advance shared understanding of LLM capabilities and limitations.
  • Work with product and engineering teams to translate research findings into improvements to OpenRouter's platform, without being constrained to a shipping cadence.

What We're Looking For
  • MS or PhD in a quantitative field (machine learning, statistics, computer science, mathematics, computational linguistics, or similar).
  • Track record of original research, demonstrated by first-author publications, significant open-source contributions, or equivalent impact in industry research.
  • Deep expertise in statistics, experimental design, and causal inference. You can design rigorous studies and reason carefully about validity, bias, and generalizability.
  • Strong programming skills in Python. You can build data pipelines, run large-scale experiments, and prototype models efficiently.
  • Proficiency in SQL for working with large-scale analytical databases (ClickHouse, BigQuery, or similar).
  • Hands-on experience with modern ML/NLP techniques such as LLM evaluation, fine-tuning, embeddings, classification, or reinforcement learning from human feedback.
  • Familiarity with the current LLM landscape: model architectures, provider ecosystems, benchmark suites, and the strengths and limitations of leading models.

Mindset & Approach
  • Deeply curious and self-directed. You identify the most important open questions and pursue them without waiting for direction.
  • Rigorous but pragmatic. You hold yourself to high scientific standards while operating at startup speed.
  • AI-first in your own workflow. You use LLMs, coding agents, and modern AI tools heavily in your research process and have strong opinions about what works.
  • Strong communicator. You can explain complex findings clearly in papers, blog posts, internal memos, and conversations with non-technical stakeholders.
  • Collaborative. You work well with product and engineering teams and can translate research insights into actionable recommendations.

If you don't think you meet all of the criteria below but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone who is excited to join the team.

Apply