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Behavior Analyst Ai Research Jobs (NOW HIRING)

Collate

AI Research Scientist

San Francisco, CA · On-site +1

Principal Research Scientist: $275-350K We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code analysis, inventing novel solutions and collaborating with engineering teams to integrate ...

Cobot

AI Research Engineer

Seattle, WA · On-site

Develop and evaluate reinforcement learning algorithms and frameworks for autonomous behaviors. * Rapidly prototype and deploy research ideas into working code to accelerate AI experimentation cycles.

Cogent Security

AI Research Engineer

Manhattan, NY · On-site

The AI Research Engineer will conduct original research in automated reasoning and AI-driven code analysis, while collaborating with engineering teams to translate research into practical ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

As an AI Research Engineer, you will conduct original research in automated reasoning and AI-driven code analysis, inventing novel solutions and collaborating with engineering teams to integrate ...

Cogent Security

AI Research Scientist

San Francisco, CA · On-site

$100K - $300K/yr

Drive original, high-impact research in automated reasoning, code analysis, and AI-driven security, from early hypothesis through publication-quality results * Invent and apply novel AI techniques to ...

Cogent Security

AI Research Engineer

San Francisco, CA · On-site

$100K - $300K/yr

As an AI Research Engineer, you will work at the frontier of automated reasoning and AI-driven code analysis - inventing novel solutions, prototyping fast, and pivoting when first ideas don't pan out.

PROPRIUS

AI Research Engineer

San Francisco, CA · On-site

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... Excellent analytical and problem-solving skills, ability to tackle hard problems and produce ...

Alignerr

Financial Analyst AI Researcher - Remote

$50 - $100/hr

Financial Analyst AI Researcher (AI Training) About the Role What if your financial expertise could ... Experience in equity research, investment analysis, or financial modeling * Familiarity with GAAP ...

webAI

AI Research Scientist

Austin, TX · On-site

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning ... Analyze experimental results and communicate insights clearly to technical and non-technical ...

Cisco

Leader, AI Research Hybrid

San Jose, CA · On-site

Lead and direct AI research teams in the planning, execution, and analysis of cutting-edge research initiatives that advance the field of artificial intelligence across strategic domains including ...

Cisco

Leader, AI Research Hybrid

San Jose, CA

Lead and direct AI research teams in the planning, execution, and analysis of cutting-edge research initiatives that advance the field of artificial intelligence across strategic domains including ...

Hume AI

Senior/Staff AI Research Engineer

San Jose, CA · On-site +1

$180K - $350K/yr

... from behavior in millions of audio and video recordings, making SLMs superhumanly helpful ... analysis. You will be working to solve some of today's most exciting AI research problems at ...

Accenture

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Our applied research explores ways that emerging technologies, such as Artificial Intelligence ... Enhancing human-AI collaboration and teaming by measuring human-AI interaction behaviors ...

Auzmor

Robotics & AI Research Engineer

Des Moines, IA · On-site

... behaviors for tasks like inventory scanning or patient assistance. • Skill Creation : Develop AI ... Exceptional analytical and creative problem-solving skills, strong communication skills to convey ...

Weekday AI

Equity Research AI Specialist

$120/hr

Analyze Public Company Filings * Interpret and extract insights from public company disclosures ... Work alongside AI researchers and financial subject matter experts to improve evaluation ...

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Behavior Analyst Ai Research information

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How much do behavior analyst ai research jobs pay per year?

As of Aug 12, 2026, the average yearly pay for behavior analyst ai research in the United States is $73,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $98,500.00 per year, depending on experience, location, and employer.

What is the difference between Behavior Analyst Ai Research vs Behavior Analyst?

AspectBehavior Analyst Ai ResearchBehavior Analyst
Required CertificationsBCBA or BCaBA, specialized in AI applicationsBCBA or BCaBA
Work EnvironmentResearch labs, tech companies, academic settingsClinics, schools, community settings
Industry UsageAI integration in behavioral analysis, data modelingBehavior intervention, assessment, and treatment

Behavior Analyst Ai Research focuses on applying behavioral principles to AI development and data analysis, often within research or tech environments. In contrast, Behavior Analysts work directly with clients to implement behavioral interventions. While both roles require BCBA certification, their work settings and primary goals differ significantly.

What are the key skills and qualifications needed to thrive as a behavior analyst AI researcher, and why are they important?

To thrive as a Behavior Analyst AI Researcher, you need a strong background in behavioral science, data analysis, and machine learning, typically supported by an advanced degree in psychology, computer science, or a related field. Familiarity with programming languages such as Python or R, statistical analysis tools, and experience with AI frameworks like TensorFlow or PyTorch are commonly required. Analytical thinking, creativity, and effective communication are essential soft skills for interpreting data and collaborating with interdisciplinary teams. These competencies are crucial for designing innovative AI models that accurately interpret and predict complex behavioral patterns.

What is a behavior analyst AI researcher?

Behavior Analyst AI Researchers are professionals who combine expertise in behavioral science with artificial intelligence to study, analyze, and improve human behavior through technology. They use AI tools and machine learning algorithms to collect and interpret behavioral data, design interventions, and develop models that can predict or influence behavior. Their work is often used in fields like healthcare, education, and organizational management to create more effective programs and solutions. By integrating AI, they can scale behavioral interventions and provide personalized recommendations based on data-driven insights.

How do behavior analyst AI research professionals typically collaborate with interdisciplinary teams?

Behavior Analyst AI Research professionals often work closely with software engineers, data scientists, and clinical experts to develop and refine AI models that support behavioral interventions. Collaboration usually involves sharing insights from behavioral analysis, contributing to data annotation and interpretation, and helping design experiments to validate AI-driven solutions. Regular meetings, cross-functional workshops, and feedback sessions are common, ensuring that AI systems are both scientifically sound and practically useful. This collaborative environment helps integrate behavioral science principles into cutting-edge AI applications.
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Behavior Analyst Ai Research jobs near you
Infographic showing various Behavior Analyst Ai Research job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, 17% Part Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

AI Research Scientist

Collate

San Francisco, CA • On-site, Remote

Full-time

Re-posted yesterday

Job description

About Collate
 
Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development-from concept to market.
 
Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders.
 
We're an elite team, with $125M in funding from top investors (Redpoint, First Round Capital, CRV, Conviction, Y Combinator) and leaders in healthcare and AI. This is a rare chance to join an early-stage company with world-changing potential, experienced founders, and resources to execute at scale.
 
 
About the Role
 
We're looking for an AI Research Scientist to push the boundaries of how advanced AI can be applied in healthcare. You'll explore new modeling approaches, design novel architectures, and prototype capabilities that don't exist yet - always with an eye toward how they can be translated into safe, reliable, and impactful products.
 
This is not a pure research role. At Collate, research is directly tied to deployment. You'll work side by side with engineers, product, and Life science  experts to ensure that breakthroughs in the lab become real solutions in the world.
What You'll Do
  • What You'll DoExplore new LLM prompt optimization, robustness of LLM applications and modeling approaches in machine learning, NLP, and reasoning.
  • Prototype and validate AI capabilities that expand Collate's product roadmap.
  • Collaborate with engineering, product, and design to bring research into production.
  • Develop evaluation frameworks to measure safety, reliability, and fairness.
  • Share findings with the broader AI community through publications and open collaboration.
  • Help shape the long-term research agenda at Collate.
What We're Looking For
  • Strong background in machine learning, NLP, or related fields, with publications or equivalent experience.
  • Ability to balance theoretical complexity and simplicity of maintaining and improving real world AI applications in life science. 
  • Experience troubleshooting NLP performance gaps and improving applications using online and offline evaluation.
  • Experience in translation is an added bonus
  • Hands-on experience building and experimenting with deep learning models (e.g., PyTorch, JAX, TensorFlow).
  • Ability to bridge theory and practice - from new research ideas to real-world deployments.
  • Curiosity-driven, with a track record of pushing beyond the obvious to uncover new possibilities.
  • Motivation to apply AI research in Life sciences , where rigor, safety, and impact matter deeply.
  • Excitement to work in an early-stage environment where you help define not just the research, but the product and company direction.
Why Join Collate?
 
Impact: Build systems and experiences that touch real patients and providers, improving healthcare outcomes.
 
Ownership: Shape both our product experience and our engineering culture from the start.
 
Learning: Collaborate with a uniquely interdisciplinary team-AI researchers, healthcare leaders, and experienced startup builders.
 
Upside: Join a company early enough to have meaningful equity and career-defining impact.
 
The base salary range for this role is depending on experience and level (Tier 1, San Francisco)

Research Scientist: $188-215K; Senior Research Scientist: $188-275K; Staff Research Scientist: $228-310K; Principal Research Scientist: $275-350K

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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