Wanted: Technical Lead

Insight Global; Viamão; Presencial; BRL 60 000 - 110 000; Tempo integral

Resumo da oferta

Insight Global in Viamao, Brazil is seeking a Technical Lead to guide data annotation teams and optimize workflows. The role emphasizes mentoring new hires, auditing outputs, and translating complex concepts into actionable improvements for the internal annotation platform.

You will analyze datasets for trends, manage timelines, and provide data-driven insights to maintain high dataset integrity while bridging technical work with team performance.

Qualificações

• Bachelor's degree required in any major demonstrating critical thinking and reading comprehension.
• 2–3 years data annotation or LLM evaluation experience.
• Experience with QA and ensuring data quality and integrity.
• Strong analytical skills to identify trends and anomalies in datasets.
• Excellent communication to explain complex concepts to diverse audiences.

Responsabilidades

• Oversee the data annotation team and onboarding of new hires.
• Audit annotation outputs to ensure dataset integrity and quality.
• Provide guidance, training, and knowledge transfer to annotators.
• Generate reports on key performance metrics for decision-making.
• Identify challenges and propose solutions for data quality and throughput.
• Document annotation processes and best practices.

Conhecimentos

Data annotation

Analytical skills

Data quality

QA experience

Communication

Mentoring

Project management

Formação académica

Bachelor's degree

Descrição da oferta de emprego

Wanted: Technical Lead Insight Global viamão, estado do rio grande do sul, br

Descrição da vaga

JOB DESCRIPTION

Their day to day includes overseeing data annotation teams and workflows to maintain the highest levels of dataset integrity and quality. This will primarily involve auditing annotation outputs, onboarding and mentoring new hires, and analyzing datasets to identify trends or anomalies. This person must be able to translate complex technical concepts, manage project timelines, and provide data-driven insights to improve the internal annotation platform. Finding those who are sharp, highly analytical, and can bridge the gap between technical workflows and team performance would be a great fit for the role! Data architecture and workflow optimization are a huge plus!

Day to Day Responsibilities:

• Assist in overseeing both the existing data annotation team and new hires.
• Support project management activities, including new hire onboarding and performance monitoring.
• Contribute technical feedback to aid in the development of the internal annotation platform and data annotation workflows.
• Provide guidance, training, and knowledge transfer to data annotators to maximize performance. Conduct or audit Quality Assurance (QA) processes to ensure dataset consistency and high quality. Support the interviewing of data annotators and assist with project onboarding.
• Proactively identify challenges and trends, and suggest effective solutions for data quality, throughput, and resource allocation issues.
• Maintain detailed documentation of annotation processes, procedures, and best practices. Generate reports on key performance metrics and provide data-driven insights for decision‑making.

REQUIRED SKILLS AND EXPERIENCE

• Must Haves: Bachelor's Degree required. Open major, provided the academic background demonstrates high-level critical thinking, synthesis, and reading comprehension (e.g., Translation, Law, Psychology, Marketing, or Humanities)
• 2-3 years of data annotation or LLM evaluation experience (Textual data annotation preferred) Some experience with Quality Auditing (QA)
• Demonstrated expertise in data quality, labeling processes, and maintaining high data integrity. Excellent analytical skills, with the ability to analyze data sets, identify trends and anomalies, and provide insights that drive project improvements.
• Proven ability to manage tasks independently and contribute effectively to team goals.
• Strong communication skills for articulating technical concepts to both technical and non‑technical audiences.