SME FOR NO-CODE & AI-BASED TEST AUTOMATION

We are looking for an experienced Test Automation Subject Matter Expert (SME) with hands-on expertise in no-code platforms and AI-driven testing tools to support the creation of high-quality, career-oriented content.
The ideal candidate should have a strong background in test automation for enterprise applications, practical experience using platforms such as Reflect, Functionize, and Worksoft Certify, and a passion for education and instructional content.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, QA/Testing, or a related field
• 3–5 years of hands-on experience with at least one of the following: Reflect, Functionize, Worksoft Certify
• Strong understanding of test automation strategies, especially for enterprise environments and business process automation
• Experience with curriculum design, content writing, or eLearning development for technical or software courses
• Excellent written communication skills and attention to detail

PREFERRED QUALIFICATIONS:

• Experience with career-focused training programs or certification prep in the QA/testing domain
• Prior collaboration with instructional designers or EdTech content development teams
• Familiarity with AI-driven testing, no-code/low-code tools, and cloud-based testing platforms
• Ability to communicate complex tool-based concepts in a clear, engaging, learner-centric manner
• Awareness of enterprise testing challenges, scalability considerations, and system integration testing
  Job Types: Temporary, Contract

Schedule:

• Monday to Friday

Work Location: Remot

• Analyze/create learning objectives for each course.
• Review/create Course Outline for each of the courses.
• Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
• Provide relevant static or recorded demos/ screencast to be integrated in the videos. Incorporate one round of internal and client feedback.
• In case of AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check.
• Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
• Create hands-on activities (1-2 lab or any other client preferred format) per course. Incorporate one round of internal and client feedback.
• Review practice quiz and graded assessments (5 files, each comprising 5-10 questions) and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and client feedback.
• Record talking head videos (onsite/virtually on Zoom) for each course. There will be approx 20-25 minutes of video recording involved per course. Incorporate one round of internal and client feedback.
• Provide digital signatures to be included on the client platform.
• For all reviews - validate the content accuracy and provide recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 rounds of client feedback.
• Be available for Client discussions and content discussions as and when required.