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Remote Research Assistant Jobs in Missouri (NOW HIRING)

Jobgether

You'll work closely with experienced engineers in a remote, collaborative environment where ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

ComForCare

Assistant & Research Intern

MO · On-site +1

Is responsible for developing abstracts, goals and plans for applied research. * Identifies and ... This is a remote position. Live your best life possible while helping others live theirs Our ...

Hillyard Inc

VIRTUAL ASSISTANT

MO · Remote

$20.25 - $27/hr

Position: Virtual Assistant Job Type: (Remote) SIKKY MANUFACTURING is a leading manufacturer of ... research and gather information as needed - Manage and maintain company databases and files ...

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Remote Research Assistant information

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$7

$20

$29

How much do remote research assistant jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote research assistant in Missouri is $20.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $23.89 per hour, depending on experience, location, and employer.

What is a remote research assistant?

Remote research assistants are professionals who support research projects by performing tasks such as data collection, literature reviews, data analysis, and report writing from a remote location. They collaborate with researchers, professors, or organizations using digital tools and communication platforms. This role allows for flexibility in location and often accommodates various fields of study, including social sciences, medicine, and business. Remote research assistants are valued for their ability to provide crucial support while working independently and efficiently.

What does a remote research assistant do?

The job responsibilities of a remote research assistant involve working to collect and analyze information in support of a business, study, or research project. As a virtual research assistant, you work from home and perform your research duties via the internet. Your duties in the private sector may be to assist a business in conducting market research on the industry and compile a database of relevant information. In academic research, you may collect data and review existing literature and reports. A legal researcher, meanwhile, gathers data from past legal cases.

What are the key skills and qualifications needed to thrive as a remote research assistant, and why are they important?

To thrive as a Remote Research Assistant, you need strong analytical skills, attention to detail, and a relevant educational background, such as a degree in a related field. Familiarity with research databases, data analysis tools (like Excel or SPSS), and collaborative platforms such as Google Workspace or project management software is often required. Excellent written communication, time management, and self-motivation are standout soft skills for remote work. These skills ensure high-quality research outputs, efficient collaboration, and successful independent task completion in a virtual environment.

How do remote research assistants typically collaborate with their teams despite working from different locations?

Remote Research Assistants frequently use digital tools such as project management platforms, video conferencing, and shared document systems to stay connected with their teams. Regular virtual meetings and clear communication protocols help ensure everyone is aligned on project goals and deadlines. While the physical distance can be challenging, most teams establish structured check-ins and encourage open communication to maintain productivity and foster a sense of teamwork. Adapting to different time zones and proactively sharing updates are also common expectations in this role.

What is the difference between Remote Research Assistant vs Remote Data Analyst?

AspectRemote Research AssistantRemote Data Analyst
Required CredentialsBachelor's degree in relevant field, research experienceBachelor's or higher in data science, statistics, or related field
Work EnvironmentRemote, often in academic or research institutionsRemote, in corporate, healthcare, or tech industries
Employer & Industry UsageUniversities, research firms, nonprofitsBusinesses, market research firms, tech companies
Common Search & ComparisonYesNo

The main difference between a Remote Research Assistant and a Remote Data Analyst lies in their focus and industry. Remote Research Assistants typically support academic or research projects with data collection and literature review, while Remote Data Analysts interpret data to inform business decisions. Both roles require analytical skills and remote work capabilities, but their industry applications and specific tasks differ.

More about Remote Research Assistant jobs

What are the most commonly searched types of Remote Research jobs in Missouri?

The most popular types of Remote Research jobs in Missouri are:

What are popular job titles related to Remote Research Assistant jobs in Missouri?

For Remote Research Assistant jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Research Assistant jobs in Missouri look for?

The top searched job categories for Remote Research Assistant jobs in Missouri are:

What cities in Missouri are hiring for Remote Research Assistant jobs?

Cities in Missouri with the most Remote Research Assistant job openings:

Remote Research Assistant jobs near you
Infographic showing various Remote Research Assistant job openings in Missouri as of August 2026, with employment types broken down into 45% Full Time, and 55% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,746 per year, or $20.6 per hour.

Research Engineer (Reinforcement Learning)

Remote

Jobgether
See more jobs at Jobgetherexternal

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer (Reinforcement Learning) based in Netherlands.

Join a small, senior engineering team building the next generation of voice- and text-driven AI agents.
You'll focus on post-training models to make agents more capable, reliable, and effective over long-running interactions.
Your work will span environments, verifiers, synthetic data, training experiments, evaluations, and production deployment.
You'll tackle challenging problems such as persistent context, reliable tool use, and multi-turn agent behavior.
The role combines hands-on research and engineering, with a strong emphasis on measurable improvements in model performance.
You'll work closely with experienced engineers in a remote, collaborative environment where technical craft and creativity are highly valued.
Your contributions will directly shape AI systems operating at significant production scale.

Accountabilities
  • Build training environments, verifiers, and supporting infrastructure for post-training models.
  • Own the synthetic data pipeline from data generation through quality assurance and validation.
  • Run end-to-end training experiments, analyze results, and clearly identify the factors driving model improvements.
  • Design and maintain evaluations that models must pass before production releases.
  • Select and adapt suitable open-weight foundation models for specific agent and product requirements.
  • Develop trained behaviors that perform consistently across both voice and text-based agents.
  • Deploy trained models to production and continuously improve them based on real-world usage and feedback.
  • Develop robust approaches to long-horizon interactions, accumulated context, and reliable tool use during live conversations.
Requirements:
  • Strong Python engineering skills and the ability to build reliable, production-quality systems.
  • Demonstrated experience taking a machine learning model from raw data through experimentation and into production.
  • A strong data-centric mindset, with attention to coverage, diversity, quality, and data leakage.
  • The ability to anticipate reward exploitation and design robust rewards, verifiers, and evaluation mechanisms.
  • Practical experience working with GPUs and a realistic understanding of their capabilities and limitations.
  • Strong judgment around when model training is the right solution-and when a simpler approach is preferable.
  • Ability to collaborate effectively within a remote, distributed, and highly autonomous team.
  • Experience with post-training techniques such as fine-tuning, reward design, or reinforcement learning, including approaches such as GRPO, is highly desirable.
  • Familiarity with RL and fine-tuning frameworks such as TRL, verl, OpenRLHF, or custom training loops is a plus.
  • Experience with technologies such as vLLM or SGLang for fast rollouts and FSDP for multi-GPU training is advantageous.
  • Experience training tool-using or multi-turn agents, as well as building execution sandboxes, verifiers, evaluation harnesses, or developer tooling, is valuable.
  • Familiarity with open-weight model families such as Qwen or Llama and techniques such as LoRA is a plus.
Benefits:
  • Opportunity to make a significant impact on a fast-growing developer platform and help shape its future.
  • Collaboration with a small, highly experienced team that values technical excellence, creativity, and ownership.
  • Competitive salary and equity package.
  • Health, dental, and vision benefits.
  • Flexible vacation policy.
  • Remote-friendly working environment with flexibility and autonomy.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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