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Behavior Scientist Jobs in Springfield, IL (NOW HIRING)

We are currently seeking a full-time Behavioral Health Technician to join our team at Logan ... Bachelor's Degree in a Social Science required * Two years or more experience providing activities ...

The Behavioral Health Technician participates in weekly multidisciplinary treatment planning ... Bachelor's Degree in a Social Science required * Two years or more experience providing activities ...

The Behavioral Health Technician participates in weekly multidisciplinary treatment planning ... Bachelor's Degree in a Social Science required * Two years or more experience providing activities ...

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Behavior Scientist information

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How much do behavior scientist jobs pay per hour?

As of May 31, 2026, the average hourly pay for behavior scientist in Springfield, IL is $38.64, according to ZipRecruiter salary data. Most workers in this role earn between $33.61 and $42.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Behavior Scientist, and why are they important?

To thrive as a Behavior Scientist, you need a solid background in psychology, behavioral analysis, and research methods, usually supported by an advanced degree in a relevant field. Familiarity with statistical software (e.g., SPSS, R), data collection platforms, and IRB protocols is typically required. Strong analytical thinking, communication, and collaboration skills distinguish top performers in this role. These skills enable accurate study design, insightful data interpretation, and effective application of findings to influence behavior and inform policy.

What are some of the main challenges Behavior Scientists face when working with multidisciplinary teams?

Behavior Scientists often collaborate with professionals from fields like data science, design, public health, and engineering. A common challenge is effectively communicating complex behavioral theories and research findings to team members with different backgrounds. Bridging these knowledge gaps requires strong interpersonal skills and the ability to translate scientific concepts into actionable strategies. Additionally, aligning behavioral interventions with broader project goals and timelines can be demanding but also offers valuable opportunities for professional growth and impact.

What are behavior scientists?

Behavior scientists are professionals who study how people and animals behave, often focusing on the underlying psychological, social, and environmental factors that influence actions and decisions. They use research methods and data analysis to understand patterns in behavior and develop strategies to encourage positive changes. Behavior scientists work in various settings such as healthcare, education, business, and government, contributing to programs and policies that improve individual and societal outcomes.
What are popular job titles related to Behavior Scientist jobs in Springfield, IL? For Behavior Scientist jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Behavior Scientist jobs in Springfield, IL look for? The top searched job categories for Behavior Scientist jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Behavior Scientist jobs? Cities near Springfield, IL with the most Behavior Scientist job openings:
Infographic showing various Behavior Scientist job openings in Springfield, IL as of May 2026, with employment types broken down into 69% Full Time, and 31% Part Time. Highlights an 100% In-person job distribution, with an average salary of $80,373 per year, or $38.6 per hour.
Behavioral Scientist - AI Trainer

Behavioral Scientist - AI Trainer

DataAnnotation

Springfield, IL • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr