Skills Checkoffs for High-Demand Trades
TradeTasks supports machining, industrial maintenance, carpentry, linework, and other labor-shortage trades—one platform for rubric-based video assessment
TradeTasks supports machining, industrial maintenance, carpentry, linework, and other labor-shortage trades—one platform for rubric-based video assessment
Whether your program teaches CNC, millwright work, industrial maintenance, or other specialty trades, the same workflow applies: define rubrics tied to NCCER performance profiles and OSHA-aligned safety steps, capture video in the lab, and let AI produce criterion-level feedback with expert sign-off.
Roll out new trade verticals without rebuilding your entire assessment stack.
Reuse rubric templates across related courses while tailoring criteria per NCCER module and OSHA-relevant safety requirement.
One skills-checkoff platform across electrical, mechanical, and industrial programs.
Get consistent feedback structures regardless of discipline—easier to understand expectations.
Report outcomes with timestamped artifacts suitable for grant compliance.
Communicate graduate readiness with objective performance records beyond transcripts.
Automate hands-on skills assessment with timestamped evidence, competency mapping, and reporting—aligned to program standards and employer expectations.
Slide to see your volume based pricing.
Automated trades competency assessment
Per student per year
No credit card required
Standalone module
Join technical colleges and trades schools using AI-assisted skills checkoffs for consistent grading, audit-ready records, and stronger employer outcomes.
TradeTasks is built for trades schools, technical colleges, and apprenticeship programs that need scalable, objective skills verification in the shop and lab. It automates competency checkoffs and documentation so faculty spend less time grading and more time teaching—while producing audit-ready evidence mapped to NCCER-style performance criteria, OSHA-aligned safety documentation, and employer partners.
Programs define rubrics that mirror NCCER performance objectives and module outcomes, so each video checkoff documents industry-standard competencies. Safety-critical steps—PPE, hazard controls, lockout/tagout, housekeeping, and shop rules—are explicit criteria aligned with OSHA training and documentation expectations, with timestamped evidence for every attempt. Instructors retain final sign-off, so professional judgment stays central.
Educators define the rubric and steps for each skill. Learners record their performance on video and upload it. AI analyzes the video against your rubric, scores performance, and generates detailed feedback with comments and timestamps for each criterion—aligned to how you already teach hands-on skills.
The AI applies the same criteria every time, reducing inconsistency between raters and grader fatigue. Feedback is timestamped and tied to your rubrics, creating a traceable record for remediation, program improvement, and reporting.
Yes. Expert-in-the-loop is built in: after AI analysis, the instructor reviews results and can approve, edit, or add comments. Final sign-off stays with your faculty so professional judgment remains central.
Vision AI Skills Checkoffs complements your LMS and shop management workflows. You use it for structured, AI-assisted skills checkoffs with automated grading and timestamped evidence—without replacing your core systems.
Every checkoff produces timestamped, rubric-aligned feedback and grades tied to your criteria—including NCCER-mapped competencies and OSHA-relevant safety steps. That creates a clear digital record for remediation, program improvement, and demonstration of outcomes to employers, sponsors, and oversight bodies.