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Behavior Analyst Ai Research Jobs (NOW HIRING)

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.

PROPRIUS

AI Research Engineer

San Francisco, CA

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 ...

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.

MSCI

AI Index Research Analyst

Manhattan, NY

$80K - $113K/yr

The team operates at the intersection of AI research, applied engineering, and financial analytics, combining technical innovation with domain expertise to shape the next generation of MSCI Index ...

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 ...

MSCI

AI Index Research Analyst

Manhattan, NY · On-site

$80K - $113K/yr

The team operates at the intersection of AI research, applied engineering, and financial analytics, combining technical innovation with domain expertise to shape the next generation of MSCI Index ...

NICE

AI Research Engineer

Atlanta, GA · On-site

You will partner closely with the Customer Engagement Analytics (CEA) Research, Product and ... AI Research Engineers are experts in the value and insights from structured data derived from ...

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 ...

Normal Computing

AI Research Engineer

New York, NY · On-site

$300K - $400K/yr

Analyze experiments with disciplined ablations; document results and decisions. * Stay current on ... PhD in CS/AI/ML (or equivalent research experience) with publications ideally in multi‑agent RL ...

Mercor

AI Research Scientist - GenAI

New York, NY · Remote

$70 - $100/hr

Develop and refine evaluation frameworks and rubrics for assessing agentic behavior on AI and data ... Demonstrated technical expertise in programming, data analysis, ML modeling , statistical methods ...

Mercor

Equity Research Analyst - Expert

New York, NY · Remote

$120/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Analyze and extract information from public SEC filings to support AI model training . * Evaluate ...

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 ...

MSCI

AI Index Research Analyst

Manhattan, NY

$80K - $113K/yr

The team operates at the intersection of AI research, applied engineering, and financial analytics, combining technical innovation with domain expertise to shape the next generation of MSCI Index ...

Mercor

Investment Research Analyst

San Francisco, CA · On-site +1

$105 - $200/hr

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Strong intuition for market sentiment, narratives, and behavioral patterns. * Comfort using ...

Harnham

AI Research Engineer

Sonoma, CA

$165K - $353K/yr

Research Engineer | San Francisco | Full-Time Brief Overview Applied AI lab building world models ... You'll define new benchmarks for retention, fun, and interactive intelligence using behavioral data ...

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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 Jun 13, 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 are Behavior Analyst AI Researchers?

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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What cities are hiring for Behavior Analyst Ai Research jobs? Cities with the most Behavior Analyst Ai Research job openings:
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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 June 2026, with employment types broken down into 33% Full Time, 33% Part Time, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $73,965 per year, or $35.6 per hour.

AI Research Engineer

Cobot

Seattle, WA • On-site

Full-time

Posted 22 days ago

Job description

Are you passionate about advancing the state of artificial intelligence and machine learning? Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine learning research and software engineering-those who can turn innovative ideas into working prototypes that push the boundaries of what's possible in intelligent systems.
In this role, you'll work closely with a small, dynamic team of AI researchers and engineers exploring reinforcement learning, transformer-based architectures, and diffusion models. You'll be expected to design, implement, and iterate on ML experiments rapidly, contributing to foundational model development that will shape the future of autonomous systems and intelligent robotics.
Join us to reimagine the future of human-robot interaction.
Collaborative Robotics is a team of innovators and builders redefining the future of human-robot interaction. We are working to realize a world where robots are a trusted extension of your surroundings. They work, adapt, and react around you. Not the other way around.
This role is located onsite at our Seattle, WA office.
Cobot will offer a relocation stipend if you are relocating to join our Seattle office and currently live more than 50 miles outside of the office location.
Key Responsibilities:
  • Design, build, and iterate on experimental ML pipelines supporting foundational model development.
  • Implement and train large-scale models, including transformers and diffusion-based architectures, for generative and control tasks.
  • 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.
  • Collaborate with cross-functional teams to integrate ML components into real-world systems.
  • Stay at the forefront of the latest AI research and share insights internally and externally.
Minimum Qualifications:
  • Master's degree in Machine Learning, AI, Computer Science, or a related technical field.
  • Minimum 3 years of experience in applied ML research and software engineering.
  • Hands-on experience training (not just using) large-scale ML models such as transformers or diffusion models.
  • Strong understanding of reinforcement learning fundamentals and applications.
  • Proficiency in Python and ML frameworks such as PyTorch, JAX, or TensorFlow.
  • Proven ability to write clean, efficient, and scalable code that supports fast iteration.
  • Excellent collaboration and communication skills.
  • Willing to occasionally travel.
  • Must have and maintain US work authorization.
Preferred Qualifications:
  • PhD in Machine Learning, AI, Computer Science, or related field.
  • 4+ years of experience in applied ML research and software engineering.
  • Experience designing ML experimentation frameworks and model training pipelines.
  • Practical knowledge of simulation environments or robotics systems.
  • While direct robotics manipulation experience is not required, familiarity with robotic systems or simulation environments is a plus.
  • Familiarity with multimodal architectures and imitation learning.
  • Understanding of edge compute or distributed ML training infrastructure.

Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let your recruiter know.
To all recruitment agencies: Collaborative Robotics does not accept agency resumes. Please do not forward resumes to our employees. Collaborative Robotics is not responsible for any fees related to unsolicited resumes.

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