Technical Lead

Insight Global; Castanhal; Presencial; BRL 90 000 - 150 000; Tempo integral

Resumo da oferta

Insight Global Castanhal in Brazil is seeking a Technical Lead to oversee data annotation teams and workflows, ensuring dataset integrity and quality.

You will mentor new hires, audit outputs, analyze datasets for trends, and provide data-driven insights to improve the internal annotation platform.

Strong communication and project-management skills are essential to bridge technical work with team performance.

Qualificações

• Bachelor’s degree required with high-level critical thinking and reading comprehension
• 2-3 years data annotation or LLM evaluation experience, QA exposure
• Expertise in data quality, labeling processes, and data integrity
• Ability to analyze datasets, identify trends and anomalies, and drive improvements
• Proven ability to work independently and contribute to team goals
• Strong communication skills to explain technical concepts to mixed audiences

Responsabilidades

• Oversee the existing data annotation team and new hires
• Support project management activities, onboarding and performance monitoring
• Provide technical feedback to improve the internal annotation platform and workflows
• Train annotators and conduct QA to ensure dataset quality
• Identify challenges and propose solutions for data quality, throughput and resources
• Document annotation processes and generate reports on key metrics

Conhecimentos

Data annotation

LLM evaluation

QA

Data quality

Labeling processes

Data analysis

Independent work

Communication skills

Formação académica

Bachelor's degree

Descrição da oferta de emprego

Technical Lead Insight Global castanhal, estado do parâ, 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.