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Action Research Jobs (NOW HIRING)

Calumet Electronics

Process Engineer

Calumet, MI · On-site

Troubleshoot problems with production and takes corrective action. Research the purchase of equipment upgrades to existing equipment Requirements • Evaluate, implement and monitor processes and ...

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How much do action research jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for action research in the United States is $35.61, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $45.43 per hour, depending on experience, location, and employer.

What is action research?

Action research is a participatory and collaborative process where individuals or groups systematically investigate issues or challenges in their own work environment to improve practices, solve problems, and generate new knowledge. It is commonly used in education, healthcare, and organizational settings, involving cycles of planning, acting, observing, and reflecting. Action research empowers practitioners to become researchers in their own fields, allowing them to implement changes, assess outcomes, and make evidence-based decisions. This approach emphasizes continuous improvement and often involves stakeholders throughout the process.

What are some common challenges faced by professionals conducting action research, and how can they be addressed?

Professionals conducting action research often encounter challenges such as balancing research with daily responsibilities, ensuring genuine collaboration with stakeholders, and maintaining objectivity while being directly involved in the process. To address these issues, clear communication and setting realistic timelines are essential, as is fostering a culture of trust and openness among participants. Regular reflection and feedback sessions can also help researchers adapt their approach and ensure the project remains relevant to real-world needs.

What are the key skills and qualifications needed to thrive as an Action Researcher, and why are they important?

To thrive as an Action Researcher, you need strong analytical abilities, research design expertise, and experience with data collection and analysis, usually backed by a degree in education, social sciences, or a related field. Familiarity with qualitative and quantitative research tools, statistical software (such as SPSS or NVivo), and ethical research protocols is essential. Collaboration, critical thinking, and effective communication are crucial soft skills for engaging stakeholders and facilitating change. These competencies enable Action Researchers to design impactful studies, drive evidence-based improvements, and foster sustainable development in organizational or educational settings.

What is the difference between Action Research vs Data Analyst?

AspectAction Research
CredentialsTypically requires a master's degree or higher in education, social sciences, or related fields
Work EnvironmentEducational institutions, community organizations, or research settings
Industry UsageUsed in education, social sciences, and community development projects
Primary FocusImplementing and evaluating change through iterative cycles of planning, action, and reflection

Data Analysts primarily focus on collecting, processing, and interpreting data to inform decision-making, often working with large datasets in corporate or tech environments. Action Researchers, on the other hand, engage in participatory research to solve practical problems within communities or organizations, emphasizing iterative cycles of action and reflection. While both roles involve analysis, their goals, environments, and methodologies differ significantly.

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Action Research jobs near you
Senior Research Scientist, World Action Modeling

Senior Research Scientist, World Action Modeling

Waymo

Kirkland, WA • On-site, Remote

$213K - $263K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager.

You will:

  • Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles).
  • Develop and maintain scalable data pipelines to process data from multiple sources.
  • Design and implement evaluation strategies for world action models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications.
  • Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products.

You have:

  • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.
  • Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).
  • Strong familiarity with AI tools in day to day work.
  • Experience in large-scale distributed training and different forms of parallelism.
  • Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.

We prefer:

  • Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
  • Substantial involvement in and contributions to high impact industry AI projects.
  • First-hand experience in, and direct contributions to training large world models / world-action models.
  • Familiarity with Reinforcement Learning in simulation environments.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000—$263,000 USD

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