ZipRecruiter

Log In

1

Behavioral Research Intern Jobs (NOW HIRING)

Sevita

Behavioral Analyst (BCBA)

Wauchula, FL · On-site

$70K - $85K/yr

Oversees work and trains BIT intern and practicum students. * Ensures adherence to accreditation standards and ethics of confidentiality. * Participates in Behavioral Research Projects with the ...

next page

Showing results 1-20

All JobsBehavioral Research Intern Jobs

Behavioral Research Intern information

See salary details

$2.1K

$6.4K

$7.8K

How much do behavioral research intern jobs pay per month?

As of Jul 11, 2026, the average monthly pay for behavioral research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

How to get a research internship with no experience?

To secure a behavioral research internship with no experience, focus on developing relevant skills such as data analysis and familiarity with research methods, and consider volunteering or assisting on projects to build your resume. Highlight your enthusiasm for research, strong communication skills, and willingness to learn in your application. Gaining knowledge through online courses or certifications can also improve your chances.

What does a behavioral researcher do?

A behavioral researcher studies human behaviors, motivations, and decision-making processes through experiments, surveys, and data analysis. They design research studies, collect and interpret data, and often use statistical tools to identify patterns and insights that inform psychological, social, or organizational understanding.

What types of projects can a Behavioral Research Intern expect to work on, and how are responsibilities typically divided within the research team?

As a Behavioral Research Intern, you can expect to work on a variety of projects such as designing and running experiments, conducting literature reviews, analyzing data, and assisting with participant recruitment. Responsibilities are often divided based on the stage of the research process and your specific strengths or interests. Interns usually collaborate closely with senior researchers, other interns, and sometimes cross-functional teams like data analysts or psychologists. This collaborative environment offers valuable exposure to the end-to-end research process and provides opportunities to learn from experienced professionals while making meaningful contributions.

What are the key skills and qualifications needed to thrive as a Behavioral Research Intern, and why are they important?

To thrive as a Behavioral Research Intern, a background in psychology, social sciences, or related fields with strong analytical and research skills is essential. Familiarity with statistical software (such as SPSS or R), survey platforms, and data collection methods is typically required. Strong attention to detail, effective communication, and the ability to work collaboratively are standout soft skills in this role. These competencies ensure accurate data analysis, effective teamwork, and meaningful contributions to research outcomes.

Does IQVIA pay interns?

Behavioral Research Interns at IQVIA are typically paid for their work, with compensation varying based on location, experience, and program specifics. Internships often include stipends or hourly wages and may require adherence to company policies and schedules.

What are the big 4 internships?

The Big 4 internships typically refer to summer internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These internships provide experience in auditing, consulting, tax, and advisory services and are highly competitive for students pursuing careers in accounting and consulting. For a Behavioral Research Intern, gaining experience through these programs can develop skills in data analysis, research methods, and professional communication.

What does a Behavioral Research Intern do?

A Behavioral Research Intern assists in the design, execution, and analysis of studies focused on understanding human behavior. This role typically involves tasks such as conducting literature reviews, recruiting participants, collecting data through surveys or experiments, and analyzing data using statistical methods. Interns may also help prepare research reports and presentations. The position provides hands-on experience in behavioral science and is a valuable stepping stone for careers in psychology, marketing, or social research.
What cities are hiring for Behavioral Research Intern jobs? Cities with the most Behavioral Research Intern job openings:
What are the most commonly searched types of Behavioral Research jobs? The most popular types of Behavioral Research jobs are:
What states have the most Behavioral Research Intern jobs? States with the most job openings for Behavioral Research Intern jobs include:
Behavioral Research Intern jobs near you
Research Intern RL & Post-Training Systems, Turbo (Fall 2026)

Research Intern RL & Post-Training Systems, Turbo (Fall 2026)

Together AI

San Francisco, CA • On-site

$58 - $63/hr

Internship

Posted 17 days ago

Job description

About the Role
The Turbo Research team investigates how to make post-training and reinforcement learning for large language models efficient, scalable, and reliable. Our work sits at the intersection of RL algorithms, inference systems, and large-scale experimentation, where the cost and structure of inference dominate overall training efficiency and shape what learning algorithms are practical.
As a research intern, you will study RL and post-training methods whose performance and scalability are tightly coupled to inference behavior, co-designing algorithms and systems rather than treating them independently. Projects aim to unlock new regimes of experimentation-larger models, longer rollouts, and more complex evaluations-by rethinking how inference, scheduling, and training interact.
Requirements
  • Pursuing a PhD or MS in Computer Science, EE, or a related field (exceptional undergraduates considered)
  • Have research experience in one or more of:
    • RL or post-training for large models (e.g., RLHF, RLAIF, GRPO, preference optimization)
    • ML systems (inference engines, runtimes, distributed systems)
    • Large-scale empirical ML research or evaluation
  • Are comfortable with empirical research by designing controlled experiments, while interpreting noisy results and drawing principled conclusions
  • Can work across abstraction layers:
    • Strong Python skills for experimentation
    • Willingness to modify inference or training systems (experience with C++, CUDA, or similar is a plus)
Example Research Directions
Intern projects are tailored to your background and interests, and may include:
  • Inference-Aware RL & Post-Training
    • Designing RL or preference-optimization objectives that explicitly account for inference cost and structure (e.g., speculative decoding, partial rollouts, controllable sampling).
    • Studying how inference-time approximations affect learning dynamics in GRPO-, RLHF-, RLAIF-, or DPO-style methods.
    • Analyzing bias, variance, and stability trade-offs introduced by accelerated inference within RL loops.
  • RL-Centric Inference Systems
    • Developing inference mechanisms that support deterministic, reproducible RL rollouts at scale.
    • Exploring batching, scheduling, and memory-management strategies optimized for RL and evaluation workloads rather than pure serving.
    • Investigating how KV-cache policies, sampling controls, or runtime abstractions influence learning efficiency.
  • Scaling Laws & Cost-Quality Trade-offs
    • Empirically characterizing how reward improvement and generalization scale with rollout cost, latency, and throughput.
    • Quantifying when systems-level optimizations change algorithmic behavior rather than only reducing runtime.
    • Identifying regimes where inference efficiency unlocks qualitatively new learning capabilities.
  • Evaluation & Measurement
    • Designing rigorous benchmarks and diagnostics for post-training and RL efficiency.
    • Studying failure modes in long-horizon training and how system constraints shape outcomes.
Preferred Qualifications
  • Publications at leading ML and NLP conferences (such as NeurIPS, ICML, ICLR, ACL, or EMNLP)
  • Understanding of model optimization techniques and hardware acceleration approaches
  • Contributions to open-source machine learning projects
Internship Program Details
Our fall internship program spans over 12 to 16 weeks where you'll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are September 14th to December 18th.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama.
Compensation
We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $63 an hour. Our hourly rates are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy

Apply