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Remote Behavioral Science Research Jobs in Berkeley, CA

Millions of scientists, educators and students use JoVE for their research, teaching and learning ... Benefits * We're fully remote! * Comprehensive benefit plans including, medical, dental, vision ...

... Science teams. Work with Product and Engineering teams to streamline workflow of computational ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:

Showing results 21-40

Remote Behavioral Science Research information

See Berkeley, CA salary details

$20.7K

$86.1K

$168.1K

How much do remote behavioral science research jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote behavioral science research in Berkeley, CA is $86,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,850.00 and $104,439.00 per year, depending on experience, location, and employer.

What is a remote behavioral science researcher?

A Remote Behavioral Science Research job involves studying human behavior, decision-making, and psychological patterns using scientific methods while working from a remote location. Researchers in this field may design and conduct experiments, analyze data, and interpret findings to provide insights for businesses, healthcare, or policy-making. They often collaborate with interdisciplinary teams and use statistical tools or behavioral theories to understand and predict behavior. This role typically requires skills in research design, data analysis, and strong communication abilities to present findings effectively.

What are the main responsibilities of a remote behavioral science researcher?

Remote Behavioral Science Researchers typically design, conduct, and analyze behavioral experiments, review scientific literature, and summarize findings for teams or clients. Much of the daily work involves collecting and managing data, preparing reports, and collaborating with colleagues through virtual meetings and shared digital platforms. Researchers may also be responsible for developing surveys, conducting interviews, or contributing to the design of interventions. This role offers the flexibility of remote work but requires discipline in meeting deadlines and maintaining clear communication across the team.

What are the key skills and qualifications needed to thrive in the remote behavioral science research position?

To thrive in Remote Behavioral Science Research, you generally need a background in psychology or a related field, experience with scientific research methods, and strong analytical skills. Familiarity with statistical software (such as SPSS, R, or Python), online survey platforms, and data visualization tools is commonly required. Effective communication, self-motivation, and strong time management are essential soft skills, especially in a remote setting. These qualifications enable researchers to work independently, deliver insightful findings, and collaborate efficiently with distributed teams.

What are popular job titles related to Remote Behavioral Science Research jobs in Berkeley, CA?

For Remote Behavioral Science Research jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Behavioral Science Research jobs in Berkeley, CA look for?

The top searched job categories for Remote Behavioral Science Research jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Behavioral Science Research jobs?

Cities near Berkeley, CA with the most Remote Behavioral Science Research job openings:

AI Data Science Expert - Remote

YO AI Labs

San Francisco, CA • Remote

$100 - $200/hr

Part-time

Posted 3 days ago

New


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.