> Markdown version of [/jobs/ext/1404117-technical-leads-latam](https://www.wearedevelopers.com/jobs/ext/1404117-technical-leads-latam). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Leads LATAM - **Company:** Insight Global - **Location:** San Francisco, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Analysis, Data Architecture, Data Integrity, SQL Databases, Large Language Models, Performance Monitor - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/5D0CE11750434A3DB2CDDC8924AD8C8B/job/ ## About the Role 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. Plusses: Experience with SQL and Python for data manipulation Experience designing or optimizing internal data annotation workflows and interfaces Advanced background in throughput tracking and resource allocation management Experience creating case studies to analyze and improve labeling methodologies. Experience interviewing ## 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Why LLMs Need Observability and How to Do It](https://www.wearedevelopers.com/videos/2117-why-llms-need-observability-and-how-to-do-it) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Unlocking the Power of AI: Accessible Language Model Tuning for All](https://www.wearedevelopers.com/videos/951-unlocking-the-power-of-ai-accessible-language-model-tuning-for-all) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Best Large Language Models on The Market](https://www.wearedevelopers.com/magazine/319-the-best-large-language-models-on-the-market) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)