Software Engineer, AI Model Training - Team Lead at Gear Inc

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Team Leadership, AI Model Training, Machine Learning, Python, Java, JavaScript, TypeScript, C++, Swift, Verilog, Data Annotation, Project Management, KPI Management, Quality Assurance, Client Communication, Problem Solving

Industry

Outsourcing and Offshoring Consulting

Description

Key Responsibilities Team Leadership and Management: Supervise and lead a team of coders/developers working on AI training data tasks, ensuring productivity, quality, and efficiency standards are met. Provide daily guidance, mentoring, and support to team members to foster growth and maintain a positive work environment. Conduct performance evaluations, provide regular feedback, and support professional development for team members. Organize and schedule shifts and tasks, ensuring adequate coverage and that deadlines are met. Quality Assurance: Ensure the work produced by the team adheres to strict quality standards in terms of accuracy, efficiency, and consistency for AI training datasets. Conduct regular reviews of the code and training data submitted by team members to ensure they align with project specifications. Implement continuous improvements for coding processes to enhance the quality and effectiveness of AI model training. Client Communication and Reporting: Act as the primary point of contact for clients regarding project updates, timelines, and progress. Prepare and present regular reports on team performance, project status, and any issues or risks to both internal and external stakeholders. Address client inquiries, concerns, and feedback, ensuring client satisfaction and maintaining positive relationships. Training and Development: Facilitate training programs to upskill team members in coding, AI training datasets, and the specific needs of AI model training. Stay updated with the latest trends in AI technologies, machine learning, and coding best practices, and share this knowledge with the team. Performance Monitoring and KPI Management: Define and track key performance indicators (KPIs) for team productivity, quality, and project delivery. Implement corrective actions where necessary to ensure continuous performance improvement. Create and maintain performance dashboards and regular team metrics reports for management review. Problem Solving and Issue Resolution: Address team or project challenges, providing solutions to technical, logistical, or communication issues as they arise. Escalate any critical issues that cannot be resolved at the team level to higher management in a timely manner. Qualifications - Bachelors degree in Computer Science, Engineering, or a related field. A Masters degree is a plus. - 3+ years of experience in a coding or software development role, with a focus on AI, machine learning, or data annotation. - 2+ years of experience in a leadership or management position, ideally in a BPO or outsourcing environment. - Familiarity with AI model training processes, including the creation of training datasets and the technical aspects of machine learning. - Strong programming skills in languages such as Java, Python, JavaScript/TypeScript, C++, Swift, Verilog. - Excellent leadership skills with the ability to manage, motivate, and develop a team. - Strong problem-solving skills, with the ability to analyze data and resolve issues effectively. - Experience with project management tools (e.g., Jira, Asana, Trello) a plus - Ability to communicate complex technical concepts to both technical and non-technical stakeholders. Why Join Gear Inc.? Competitive salary and benefits package. Dynamic and inclusive work environment. Opportunities for professional growth and development. Be part of a company with a global presence and an innovative mindset.

Responsibilities

Lead and supervise a team of developers focused on AI training data tasks to ensure high quality and efficiency. Act as the primary client contact while managing performance metrics and implementing continuous process improvements.