AGI Data Services organization is responsible for procuring data needed for building and validating large-language models. Today, AGI Data Services produces large amounts of of human-created and human-in-the-loop data that is used to train and evaluate large language models. The data is produced through multiple delivery channels, depending on complexity, type, and volume. One of the strategic channels to build and develop for AGI Data Services is external crowd sourcing where AGI Data Services can directly hire/recruit, engage and manage the crowd to generate high quality ground truth.

Software Development Manager in this space will lead the engineering team to define, design, and execute the charter of recruiting and onboarding high quality external annotators (aka experts) who are proficient in complex domains such as STEM, SWE, Finance, Medicine, etc.

This role’s scope includes defining strategy, processes and requirements, and leading cross functional development teams from design through delivery. You will be accountable for driving the entire product lifecycle, from platform product definition through specification, coding, quality assurance and launch to the potential millions of external experts who are interested to annotate and earn money across multiple countries. Most importantly, these software capabilities will be external facing and be made generally available. As a result, the software development manager leading this charter will be responsible for taking multiple decisions that involve PR, legal and compliance. Cross-team coordination, project and program management and writing skills are essential for this role.


Key job responsibilities
- Lead AI driven software capabilities that enable hiring, recruiting and vetting of 50K+ external candidates who are subject matter expert in STEM, SWE, Finance and other complex domains for Nova and other Gen AI model data collection needs.
- Drive alignment and execution of key business goal to recruit, hire and register legitimate external experts who can help train and improve AI model on complex domains.
- Define technology stack, guide and review key architectural decisions.
- Hire exceptional individuals and mentor team members in reaching their career goals.