Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Join Geisinger as a Remote Neuroradiologist - Redefine Your Work-Life Balance
Danville, PA · On-site +1
This is a 100% remote opportunity offering a flexible lifestyle, cutting-edge technology, and a ... Access to perfusion, DTI/tractography, spectroscopy, and fMRI. * Supportive Infrastructure: Real ...
Join Geisinger as a Remote Neuroradiologist - Redefine Your Work-Life Balance
Danville, PA · On-site +1
This is a 100% remote opportunity offering a flexible lifestyle, cutting-edge technology, and a ... Access to perfusion, DTI/tractography, spectroscopy, and fMRI. * Supportive Infrastructure: Real ...
This is a 100% remote opportunity offering a flexible lifestyle, cutting-edge technology, and a ... Access to perfusion, DTI/tractography, spectroscopy, and fMRI. * Supportive Infrastructure: Real ...
This is a 100% remote opportunity offering a flexible lifestyle, cutting-edge technology, and a ... Access to perfusion, DTI/tractography, spectroscopy, and fMRI. * Supportive Infrastructure: Real ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Preferred : • Familiarity with tools or methods such as EEG, fMRI, behavioral experiments ... remote teams of researchers, reviewers, educators, annotators, science writers, or QAs. • ...
Human Research Technologist, Center for Language Science
University Park, PA · On-site +1
$31K - $45K/yr
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... ERP), and fMRI. One of the main responsibilities of the Human Research Technologist will be to ...
Human Research Technologist, Center for Language Science
University Park, PA · On-site +1
$31K - $45K/yr
Approval of remote and hybrid work is not guaranteed regardless of work location. For additional ... ERP), and fMRI. One of the main responsibilities of the Human Research Technologist will be to ...
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... using fMRI, and examining creativity in the context of STEM education. The Postdoctoral Scholar ...
Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... using fMRI, and examining creativity in the context of STEM education. The Postdoctoral Scholar ...
Remote Fmri information
What is the difference between Remote Fmri vs Remote Neuroimaging Technician?
| Aspect | Remote Fmri | Remote Neuroimaging Technician |
|---|---|---|
| Required Credentials | Typically requires a degree in neuroscience, psychology, or related field; certification in neuroimaging techniques | Usually requires an associate or bachelor's degree in health sciences or related field; certification in neuroimaging procedures |
| Work Environment | Primarily remote, involving data analysis and interpretation | Remote or on-site, focusing on equipment setup, data collection, and maintenance |
| Employer & Industry Usage | Research institutions, hospitals, universities | Hospitals, clinics, research labs |
Remote Fmri specialists focus on analyzing functional MRI data remotely, often requiring advanced degrees and certifications. In contrast, Remote Neuroimaging Technicians may handle data collection and equipment remotely or on-site, with a focus on technical procedures. Both roles are integral to neuroimaging research and clinical applications, but they differ in responsibilities and required credentials.
What are the key skills and qualifications needed to thrive as a Remote fMRI Specialist, and why are they important?
A Remote fMRI Specialist typically requires a background in neuroscience, psychology, or biomedical engineering, along with experience in functional MRI analysis and data interpretation. Familiarity with neuroimaging software (such as SPM, FSL, or AFNI), remote data acquisition systems, and potentially certifications in MRI safety are important. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with research teams and ensuring accurate interpretations. These skills ensure the reliability of research outcomes and enable effective remote collaboration in complex, data-driven environments.
What are remote fMRI jobs?
Remote fMRI jobs involve working with functional magnetic resonance imaging data from a location outside of traditional laboratory or hospital settings. Professionals in these roles may analyze fMRI datasets, develop imaging protocols, or contribute to research studies via secure online platforms. Remote fMRI positions are often found in research, academic, or healthcare organizations and typically require strong technical skills in neuroimaging software, data analysis, and sometimes programming. This work enables collaboration with teams globally and offers flexibility for those who cannot be on-site. However, access to high-speed internet and secure data handling protocols is essential for these positions.
What are some common challenges faced when working as a remote fMRI analyst, and how can they be managed?
As a remote fMRI analyst, one common challenge is maintaining effective communication with research teams, especially when collaborating across different time zones. Ensuring secure access to large neuroimaging datasets and computational resources can also pose difficulties. To manage these challenges, it's important to establish clear communication protocols, utilize collaborative tools for data sharing and project management, and stay proactive in seeking support for technical issues. Regular virtual meetings and clear documentation help maintain workflow continuity and data integrity.
More about Remote Fmri jobs
What cities are hiring for Remote Fmri jobs? Cities with the most Remote Fmri job openings:
What are the most commonly searched types of Fmri jobs? The most popular types of Fmri jobs are:
What states have the most Remote Fmri jobs? States with the most job openings for Remote Fmri jobs include:
What job categories do people searching Remote Fmri jobs look for? The top searched job categories for Remote Fmri jobs are:
Full-time
Posted 5 days ago
Job description
Job Summary:
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Neuroscience Quality Assurance Lead to oversee quality, consistency, and trainer performance across neuroscience and cognitive science AI training projects, ensuring that scientific training data is accurate and aligned with client expectations.
Responsibilities:
• Quality monitoring: Spot-check neuroscience/cognitive science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Scientific review: Evaluate AI-generated neuroscience/cognitive science explanations, research summaries, experimental interpretations, brain-behavior claims, cognitive theory applications, and step-by-step reasoning for accuracy and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and neuroscience/cognitive-science-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around neural mechanisms, cognition, experimental design, statistical interpretation, ethical boundaries, clinical caution, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain neuroscience/cognitive science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and neuroscience/cognitive-science-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply neuroscience/cognitive science review guidelines consistently and understand updates as projects evolve.
• Safety and ethics review: Flag pseudoscientific, overconfident, clinically misleading, ethically problematic, or unsupported claims about the brain, cognition, behavior, or mental health.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for neuroscience/cognitive science AI training projects.
Qualifications:
Required:
• Bachelor’s, Master’s, PhD, MD/PhD, or equivalent professional background in Neuroscience, Cognitive Science, Psychology, Neurobiology, Cognitive Psychology, Computational Neuroscience, Neurology-adjacent research, Biology, Biomedical Sciences, or a closely related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in neuroscience/cognitive science research, teaching, laboratory work, academic review, science communication, experimental design, data analysis, or related scientific workflows.
• Strong understanding of neural systems, cognition, perception, attention, memory, learning, language, decision-making, neuroanatomy, neural signaling, research methods, and brain-behavior relationships.
• Ability to evaluate neuroscience/cognitive science content against detailed rubrics and identify issues such as neuromyths, overclaiming, unsupported causal conclusions, flawed study interpretation, incorrect terminology, pseudoscience, or misleading clinical implications.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
Preferred:
• Familiarity with tools or methods such as EEG, fMRI, behavioral experiments, computational modeling, neuropsychological assessment, statistics, Python/R/MATLAB, cognitive tasks, or literature review.
• Experience leading or supporting remote teams of researchers, reviewers, educators, annotators, science writers, or QAs.
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, psychology/neuroscience content review, or rubric-based review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.
YO IT Consulting is a fast-growing AI Data Services company delivering training data for many of the world’s largest AI companies. They are seeking a Neuroscience Quality Assurance Lead to oversee quality, consistency, and trainer performance across neuroscience and cognitive science AI training projects, ensuring that scientific training data is accurate and aligned with client expectations.
Responsibilities:
• Quality monitoring: Spot-check neuroscience/cognitive science items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
• Scientific review: Evaluate AI-generated neuroscience/cognitive science explanations, research summaries, experimental interpretations, brain-behavior claims, cognitive theory applications, and step-by-step reasoning for accuracy and clarity.
• Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and neuroscience/cognitive-science-specific review standards.
• Question handling: Respond to trainer/QA questions clearly and promptly, especially around neural mechanisms, cognition, experimental design, statistical interpretation, ethical boundaries, clinical caution, and rubric interpretation.
• Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
• Documentation: Create and maintain neuroscience/cognitive science project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
• Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and neuroscience/cognitive-science-specific review requirements.
• Quality alignment: Ensure all trainers and QAs apply neuroscience/cognitive science review guidelines consistently and understand updates as projects evolve.
• Safety and ethics review: Flag pseudoscientific, overconfident, clinically misleading, ethically problematic, or unsupported claims about the brain, cognition, behavior, or mental health.
• Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for neuroscience/cognitive science AI training projects.
Qualifications:
Required:
• Bachelor’s, Master’s, PhD, MD/PhD, or equivalent professional background in Neuroscience, Cognitive Science, Psychology, Neurobiology, Cognitive Psychology, Computational Neuroscience, Neurology-adjacent research, Biology, Biomedical Sciences, or a closely related field.
• Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
• 3+ years of experience in neuroscience/cognitive science research, teaching, laboratory work, academic review, science communication, experimental design, data analysis, or related scientific workflows.
• Strong understanding of neural systems, cognition, perception, attention, memory, learning, language, decision-making, neuroanatomy, neural signaling, research methods, and brain-behavior relationships.
• Ability to evaluate neuroscience/cognitive science content against detailed rubrics and identify issues such as neuromyths, overclaiming, unsupported causal conclusions, flawed study interpretation, incorrect terminology, pseudoscience, or misleading clinical implications.
• Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems.
• Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, calibration tasks, and documentation.
Preferred:
• Familiarity with tools or methods such as EEG, fMRI, behavioral experiments, computational modeling, neuropsychological assessment, statistics, Python/R/MATLAB, cognitive tasks, or literature review.
• Experience leading or supporting remote teams of researchers, reviewers, educators, annotators, science writers, or QAs.
• Experience with AI training, data annotation, LLM evaluation, scientific QA, academic review, psychology/neuroscience content review, or rubric-based review.
Company:
Our Core mission is to develop, deploy, or integrate artificial intelligence (AI) — including machine learning (ML), data analytics, automation, natural language processing (NLP), computer vision, and related technologies — to solve real-world problems, improve decision-making, automate repetitive tasks, and deliver intelligent solutions across industries. Founded in 2018, the company is headquartered in Abu Dhabi, Abu Dhabi Emirate, AE, , with a team of 51-200 employees. The company is currently Growth Stage.