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Internship Remote Research Engineer Jobs in San Ramon, CA

talentpluto

Research Engineer

San Francisco, CA · On-site +1

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... As a Research Engineer, you will build the automated systems that verify and assure data quality so ...

talentpluto

Research Engineer

San Francisco, CA · Remote

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... As a Research Engineer, you will build the automated systems that verify and assure data quality so ...

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

Remote Commitment: 20+ hours/week Role Responsibilities * Attempt open-ended machine learning research tasks under a fixed time and compute budget. * Work independently in a sandboxed Linux ...

Clerkie

Software Engineer Internship

San Francisco, CA · On-site +1

$80/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... About the internship As the newest addition to Team Clerkie, this Software Engineer Intern will ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... Demonstrated research/software engineering experience: through previous internships, work ...

Navier

MBA Internship

Alameda, CA · On-site +1

$17 - $22.75/hr

Conduct market research and competitive analyses to identify emerging opportunities in maritime ... Remote-friendly role, with occasional opportunities to engage on-site depending on project needs.

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Internship Remote Research Engineer information

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How much do internship remote research engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for internship remote research engineer in San Ramon, CA is $21.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.37 per hour, depending on experience, location, and employer.

What is an internship remote research engineer?

Internship Remote Research Engineers are students or recent graduates who work remotely to assist in research and development projects, typically within engineering, technology, or scientific fields. Their responsibilities often include data analysis, literature reviews, software development, and supporting senior researchers in various experiments or projects. These internships provide hands-on experience, allowing interns to apply theoretical knowledge, develop technical skills, and collaborate with professional teams, all while working from a location outside the main office or lab.

How does an internship remote research engineer typically collaborate with team members and supervisors?

As a remote research engineer intern, you'll primarily use digital collaboration tools like Slack, Zoom, and project management platforms to communicate with your team. Regular check-ins, virtual meetings, and shared documentation are crucial for staying aligned on project goals and progress. You'll often work closely with senior engineers, researchers, and sometimes cross-functional teams, receiving guidance and feedback remotely. This setup encourages proactive communication and self-management, helping you develop strong remote work skills that are highly valued in the tech industry.

What are the key skills and qualifications needed to thrive as an internship remote research engineer, and why are they important?

To thrive as an Internship Remote Research Engineer, you need a solid background in computer science or engineering, strong analytical abilities, and relevant coursework or experience in research methodologies. Familiarity with programming languages (such as Python or MATLAB), version control systems (like Git), and data analysis tools is typically required. Strong self-motivation, effective communication, and time management skills help interns excel in remote and collaborative environments. These skills enable effective contribution to research projects, independent problem-solving, and seamless integration with distributed teams.

What is the difference between Internship Remote Research Engineer vs Research Scientist?

AspectInternship Remote Research EngineerResearch Scientist
CredentialsTypically pursuing or holding a relevant degree (e.g., Computer Science, Engineering)Advanced degree (Master's or PhD) often required
Work EnvironmentRemote, internship setting, often part-time or temporaryFull-time, research-focused, may be remote or on-site
Industry UsageCommon in tech, academia, and R&D sectors for entry-level or training rolesResearch and development departments, academia, industry labs

The main difference is that an Internship Remote Research Engineer is an entry-level, temporary position aimed at gaining experience, often held by students or early-career individuals. In contrast, a Research Scientist is a more advanced, permanent role focused on conducting independent research, often requiring higher qualifications and experience.

What cities near San Ramon, CA are hiring for Internship Remote Research Engineer jobs?

Cities near San Ramon, CA with the most Internship Remote Research Engineer job openings:

Internship Remote Research Engineer jobs near you

Research Engineer

talentpluto

San Francisco, CA • On-site, Remote

$140K - $250K/yr

Full-time

Re-posted 3 days ago

Job description

Location: Remote (United States)
Work Model: Remote
Industry: AI training data infrastructure
Compensation: $140K-$250K base, plus equity
About the Company
Our partner is a YC-backed company building a new kind of marketplace in the AI training data space. Rather than operating as a labor marketplace, they provide infrastructure that lets data producers transform their existing data into formats AI labs want and sell it directly to those labs. This democratized model unlocks far more high-value data sources, and the team is growing quickly to keep up with demand.
The Opportunity
This is the company's top hiring priority and a genuinely hard research problem. Because data flows through a decentralized marketplace, ensuring quality at scale is the single biggest bottleneck to growth. As a Research Engineer, you will build the automated systems that verify and assure data quality so that suppliers consistently deliver excellent data to buyers.
You will start by digging into the data manually to understand failure modes, then design systems to automate quality checks at scale, combining rule-based approaches with AI for fuzzier cases and human-in-the-loop review where it makes sense. This is fundamentally a research role focused on building automated systems, not manual QA.
Responsibilities
  • Identify data quality issues including inconsistencies, formatting problems, and ingestion challenges
  • Perform initial manual data quality review to deeply understand failure modes
  • Build systems to automate quality checks at scale using rule-based and AI-driven approaches
  • Design hybrid systems that balance automation with human-in-the-loop review where appropriate
  • Continuously improve verification methods as the data landscape and AI tooling evolve
Requirements
  • Deeply technical, with a strong learning slope and the ability to ramp quickly in a fast-moving field
  • Background in AI/ML engineering, or software engineering at an AI-focused company with visible data ingestion and processing experience
  • Ability to reason about likely data quality problems from first principles
  • Comfortable owning ambiguous, open-ended problems end to end
  • Comfortable working in person, full-time, in a San Francisco office
  • Bonus: experience working with noisy or unstructured data, or judgment on when to use automation versus human-in-the-loop review

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