Wanted: Technical Lead

Insight Global; Botucatu; Presencial; BRL 180 000 - 260 000; Tempo integral

Resumo da oferta

A Insight Global, com base em Botucatu, procura um(a) Technical Lead para supervisionar equipes de anotação de dados e fluxos de trabalho, assegurando a integridade e a qualidade dos datasets. Você auditará outputs, fará onboarding e mentoria, traduzindo conceitos técnicos para equipes diversas.

Requer-se experiência em gestão de projetos, análise de dados e arquitetura de dados, com foco em melhoria de processos, QA e documentação de melhores práticas para orientar decisões.

Qualificações

• Bachelor’s Degree is required; open major if a background demonstra a high level of critical thinking.
• 2–3 years de experiência em data annotation ou avaliação de LLM (texto utilizado preferencialmente).
• Experiência com QA, qualidade de dados, rotulagem e integridade de datasets.
• Habilidade analítica para identificar tendências e anomalias em conjuntos de dados.
• Capacidade de gerir tarefas de forma independente e comunicar com equipes técnicas e não técnicas.

Responsabilidades

• Supervisionar a equipe de anotação de dados existente e onboarding de novos contratados.
• Dar suporte a gestão de projetos, onboarding e monitoramento de desempenho.
• Contribuir com feedback técnico para desenvolvimento de plataforma de anotação e fluxos de dados.
• Oferecer treinamento e transferênc ia de conhecimento para maximizar desempenho; auditar QA.
• Identificar desafios e tendências, sugerir soluções para qualidade, throughput e alocação de recursos.
• Manter documentação detalhada de processos e gerar relatórios de KPIs.

Conhecimentos

Data annotation

QA / Quality Assurance

Mentoring

Onboarding

Data analysis

Data architecture

Workflow optimization

Project management

Technical communication

Formação académica

Bachelor’s Degree

Descrição da oferta de emprego

Wanted: Technical Lead Insight Global botucatu, estado de são paulo, 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.