Cognitive Performance Reviewer – Junior AI Validation Team
Location: Kelowna, BC
Position Type: Part-time, Contract (through Autonomic Technologies Inc.)
Hours: 30 hours / week (Late June 2026 – Late December 2026)
Schedule: Monday-Friday 10AM – 4PM
Compensation: Paid position $25 per hour
About Autonomic
Autonomic Technologies is building a neuroscience-based AI platform designed to improve cognitive performance, focus, stress regulation, and learning outcomes for students.
Our platform combines behavioral science, neuroscience research, and artificial intelligence to deliver personalized brain-performance training at scale across higher education institutions.
As part of this system, Autonomic includes a human reviewer layer to ensure quality, consistency, and responsible AI decision-making.
Position Overview
As an Junior AI Validator, you will play an important role in supporting the quality of the Autonomic platform by reviewing student summaries and checking AI-supported habit recommendations within a structured internal system.
Reviewers act as a human validation layer for the AI system, helping ensure recommendations remain accurate, consistent, and aligned with Autonomic’s behavioral framework.
This is not a live coaching, counselling, or student support role.
This is a role focused on structured review work — helping ensure recommendations are aligned, appropriate, and consistent with platform guidelines.
You will work within a defined process and receive training on how to interpret information, review recommendations, and flag situations that need further attention.
Most reviews take approximately 3 minutes per student, using a structured review framework provided during training.
This position is ideal for someone who is thoughtful, reliable, detail-oriented, and interested in applied AI, human performance, student well-being, or structured decision-making systems.
This role is particularly well suited for students or early-career professionals interested in gaining experience at the intersection of neuroscience, behavioral science, and artificial intelligence.
This role is part of Autonomic’s human-in-the-loop AI validation system, a model increasingly used in high-reliability artificial intelligence environments.
Key Responsibilities
- Review weekly student summaries within the Autonomic dashboard
- Assess AI-supported habit recommendations using Autonomic’s review framework
- Confirm that recommendations align appropriately with student inputs and platform logic
- Identify whether habits are new, reintroduced, or adjusted appropriately
- Flag edge cases, inconsistencies, or situations requiring senior review
- Follow structured internal processes and quality guidelines
- Participate in team calibration sessions and ongoing reviewer support
What This Role Offers
Experience working in an emerging AI-supported environment
Exposure to applied neuroscience, behavior design, and education technology
Flexible contract work
Opportunity to contribute to a meaningful student-focused platform
Experience that may be valuable for future work in health, education, research, operations, or AI-enabled systems
Who We’re Looking For
We are looking for individuals who are organized, thoughtful, and able to work carefully within a structured process.
You may be a strong fit if you:
Enjoy reviewing information carefully and spotting inconsistencies
Are comfortable applying rules, frameworks, and decision guidelines
Work accurately and consistently, even in repetitive tasks
Have strong judgment and know when to flag something for review
Prefer structured, behind-the-scenes work over client-facing roles
Are interested in quality, accuracy, and thoughtful human oversight in AI-supported systems
Relevant backgrounds may include accounting, audit, compliance, quality assurance, content moderation, operations, research, administration, or other fields involving structured review and careful decision-making. Applicants from a variety of backgrounds are encouraged to apply such as; psychology, neuroscience, health sciences, kinesiology, or behavioral science
Skills & Qualifications
- Bachelor’s degree in progress or completed (relevant field preferred)
- Strong written comprehension and attention to detail
- Comfort using digital platforms and online systems
- Ability to stay consistent across repeat review tasks
- Professionalism, sound judgment, and reliability
- Ability to learn and apply structured review processes
Training & Support
Al Validators will complete Autonomic onboarding and training, which includes:
- Platform overview
- Review workflow and internal framework
- Dashboard navigation
- Recommendation review process
- Quality standards and escalation pathways
- Validators will also receive ongoing support from the Autonomic team throughout the contract term.
Why Join Autonomic?
Be part of an innovative company working at the intersection of AI, neuroscience, and education
Contribute to a platform designed to improve student performance and well-being
- Gain experience with human-in-the-loop AI systems
Join a growing, research-informed technology company building in an important and emerging space
What Makes Someone Successful in This Role
The most successful validators tend to share a few key strengths. Because reviews are completed efficiently (about 3 minutes per student), the role requires both analytical thinking and consistent decision-making.
We are particularly interested in candidates who demonstrate:
Pattern Recognition
Ability to quickly interpret structured information and identify relevant signals in survey responses and student summaries.
Rule Adherence
Comfort working within defined decision frameworks and following established guidelines to maintain consistency.
Judgment Discipline
Ability to objectively evaluate AI recommendations without introducing personal opinions or assumptions.
Speed with Accuracy
Capability to work efficiently while maintaining careful attention to detail and quality.
Ideal Candidate Traits
The strongest candidates are typically:
Analytical and comfortable interpreting structured data
Highly trainable and open to learning new systems and frameworks
Comfortable with temporary or semester-based contracts
Academically curious, often with interests in psychology, neuroscience, health sciences, or human performance
Interested in AI and human–technology collaboration
This role is particularly well suited for students or early-career professionals interested in gaining experience at the intersection of neuroscience, behavioral science, and artificial intelligence.
To Apply
Please submit:
- Your resume + references (preferably from professors or executives from college/university)
- A short statement (2-4 minute video) answering:
- What interests you about this role specifically?
- Tell us about a time you had to follow a process carefully or make a decision using guidelines.
- What do you think makes someone effective in a role that involves reviewing information and flagging issues appropriately?
- What interests you about neuroscience, human performance, student wellbeing, or AI-supported systems?
- Answer this question: You are reviewing information using a defined framework and believe the AI recommendation is slightly incorrect. What is the most appropriate next step?