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Indore, IN
Urgent requirement
Process trainer | BPO GFL Recruitment Private Limited
Place of work
AnandpurSahib
Contract type
-
Start date
-
Salary
-
Job details
Job description, work day and responsibilities
Process Trainer-Quality & Training
Location: Mohali (Onsite)
Education And Skills
• Graduate/Post-graduate in relevant field.
• Min 2-3 years of process trainer or relevant experience.
• Professional & committed to work.
• Complete knowledge of the training domain in the Data Annotation field.
• Good knowledge of Data Labelling & Data Annotation
• Should have good knowledge regarding all sorts of training tools, methodology/feedback
delivery/BQM/TNI & etc.
• Should know Data Annotation/AI/ML/Data Processing/Data Labelling.
• Well Versed with 2D/3D photos & panoramas AI & Annotation Tools.
• Able to understand the instructions & able to convey the same to users.
Job Description
Role & responsibilities
• Create comprehensive training materials covering transaction monitoring, data processing, and
quality assurance.
• Conduct regular training sessions for new hires and ongoing training for existing team members.
• Educate team members on the importance of accurate data labeling and its impact on machine
learning model performance.
• Provide detailed guidelines and hands-on training to ensure high labeling accuracy.
• Stay informed about the latest developments in data processing and quality assurance.
• Revise training materials to incorporate new standards, technologies, and best practices.
• Assess the effectiveness of training programs through feedback, assessments, and performance
metrics.
• Make necessary improvements to training approaches and materials based on evaluation results.
• Foster a culture of continuous learning and improvement within the team.
• Collaborate with quality analysts and other stakeholders to identify training needs and address skill
gaps.
• Maintain detailed records of training sessions, participant progress, and feedback.
• Report on training outcomes and suggest actionable insights for improving quality assurance
processes.
Skills: training,data processing,quality assurance,bpo
Location: Mohali (Onsite)
Education And Skills
• Graduate/Post-graduate in relevant field.
• Min 2-3 years of process trainer or relevant experience.
• Professional & committed to work.
• Complete knowledge of the training domain in the Data Annotation field.
• Good knowledge of Data Labelling & Data Annotation
• Should have good knowledge regarding all sorts of training tools, methodology/feedback
delivery/BQM/TNI & etc.
• Should know Data Annotation/AI/ML/Data Processing/Data Labelling.
• Well Versed with 2D/3D photos & panoramas AI & Annotation Tools.
• Able to understand the instructions & able to convey the same to users.
Job Description
Role & responsibilities
• Create comprehensive training materials covering transaction monitoring, data processing, and
quality assurance.
• Conduct regular training sessions for new hires and ongoing training for existing team members.
• Educate team members on the importance of accurate data labeling and its impact on machine
learning model performance.
• Provide detailed guidelines and hands-on training to ensure high labeling accuracy.
• Stay informed about the latest developments in data processing and quality assurance.
• Revise training materials to incorporate new standards, technologies, and best practices.
• Assess the effectiveness of training programs through feedback, assessments, and performance
metrics.
• Make necessary improvements to training approaches and materials based on evaluation results.
• Foster a culture of continuous learning and improvement within the team.
• Collaborate with quality analysts and other stakeholders to identify training needs and address skill
gaps.
• Maintain detailed records of training sessions, participant progress, and feedback.
• Report on training outcomes and suggest actionable insights for improving quality assurance
processes.
Skills: training,data processing,quality assurance,bpo
Company address
Offer ID: #855932,
Published: 2 weeks ago,
Company registered: 1 year ago
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