ConnectHum

• Build and scale automated evaluation systems for AI models. • Develop and train automated “judge” models to assess AI outputs. • Design validation frameworks to ensure accuracy and reliability across languages. • Create synthetic data pipelines to improve evaluation coverage. • Build scalable analysis and reporting systems for AI performance. • Work closely with language experts and cross-functional teams.

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• Own sourcing end-to-end for key tech roles across global markets • Identify and engage high-quality candidates beyond standard search channels • Act as a strong ambassador of the role and clearly position opportunities to candidates • Maintain consistent and thoughtful communication with candidates throughout the process • Collaborate closely with recruiters and clients to ensure fast and high-quality hiring

• Building and deploying predictive models • Working with large-scale datasets and turning them into actionable insights • Collaborating closely with data engineering and business teams • Covering the full analytics cycle: from hypothesis → modeling → deployment • Exploring modern areas like LLMs and AI-driven analytics.

• Design and build Rust backend services powering real-time policy enforcement • Own features end-to-end - API design, database schema, deployment, monitoring • Build high-throughput data pipelines handling massive AI traffic • Improve system performance, reliability, and observability • Work across the stack when needed — solving problems over protecting boundaries • Collaborate closely with product, research, and ML teams • This is a hands-on role where infrastructure directly shapes how AI behaves in production.

• Own startup’s public technical presence through developer content, demos, and tutorials. • Build and grow a developer community through hackathons, meetups, and direct engagement. • Run developer-facing channels such as X and LinkedIn. • Translate complex AI infrastructure into clear and useful developer content. • This is a hands-on 0–1 role focused on building developer community and presence from scratch.

• Own the full recruiting lifecycle end to end, from sourcing to closing. • Build scalable recruiting systems from the ground up. • Partner closely with founders to shape hiring strategy and role definitions. • Move fast in ambiguity while keeping a high quality bar and great candidate experience.