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Field Research Remote Jobs in California (NOW HIRING)

talentpluto

Research Engineer

San Francisco, CA · On-site +1

$140K - $250K/yr

Location: Remote (United States) Work Model: Remote Industry: AI training data infrastructure ... field * Background in AI/ML engineering, or software engineering at an AI-focused company with ...

Tilda Research

We've hit revenue growth and product-market fit, which gives us a huge green field to work with ... About Tilda Research We are a clinical trial network built from the ground up, suitable for the ...

Netflix

$85/hr

... field * Research or applied experience in one or more of the following: * Distributed systems ... Based at our Los Gatos, CA headquarters, may be open to remote candidates * Intended for students ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... related fields/experience * Strong Python programming skills; ability to demonstrate mastery ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Indigo Research

Education Consultant

San Francisco, CA · On-site +1

Conduct sales presentations, and virtual meetings to showcase the value of Indigo Research ... A Bachelor's degree in sales or a business/education-oriented field. * Proven track record in sales ...

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Field Research Remote information

What is a field research remote?

A Field Research Remote job involves collecting, analyzing, and reporting data from various locations while working primarily from a remote setting. Unlike traditional field researchers, remote field researchers may use digital tools, surveys, online interviews, or remote sensing technology to gather information. This role is common in disciplines like environmental studies, social sciences, and market research, and often requires travel to specific sites for data collection while performing other tasks from home. The position typically demands strong analytical skills, self-motivation, and effective communication abilities. Remote field researchers may collaborate with teams virtually and submit their findings through digital platforms.

What are some common challenges faced by remote field researchers, and how can they be addressed?

Remote field researchers often encounter challenges such as coordinating with team members across different time zones, ensuring reliable data collection in varied environments, and maintaining consistent communication with supervisors. These can be addressed by leveraging collaboration tools, establishing clear communication protocols, and participating in regular virtual check-ins. Additionally, thorough planning and adaptability are key in overcoming logistical hurdles and ensuring data quality in remote settings.

What are the key skills and qualifications needed to thrive as a field researcher in a remote setting, and why are they important?

To thrive as a remote Field Researcher, you need strong analytical abilities, attention to detail, and a background in research methods, typically supported by a relevant degree such as in environmental science, biology, or social sciences. Familiarity with data collection tools (like GPS devices, digital survey platforms), statistical analysis software, and often certifications in research ethics or field safety are important. Excellent communication, self-motivation, and problem-solving skills set top candidates apart, especially when working independently in varied environments. These skills ensure accurate data collection, effective collaboration, and adaptability to field conditions, leading to successful research outcomes.

What are the most commonly searched types of Field Research jobs in California?

The most popular types of Field Research jobs in California are:

What are popular job titles related to Field Research Remote jobs in California?

For Field Research Remote jobs in California, the most frequently searched job titles are:

What job categories do people searching Field Research Remote jobs in California look for?

The top searched job categories for Field Research Remote jobs in California are:

What cities in California are hiring for Field Research Remote jobs?

Cities in California with the most Field Research Remote job openings:

Field Research Remote jobs near you
Infographic showing various Field Research Remote job openings in California as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% Remote job distribution.

Research Engineer

talentpluto

San Francisco, CA • On-site, Remote

$140K - $250K/yr

Full-time

Re-posted 21 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

Apply