Heuristics & Confidence Scoring Developer

Why Volunteer with TCUS

TCUS was founded in 2024 by Kevin Schmidt and a dedicated team of changemakers who saw the need for bold, systemic solutions to some of the world’s most pressing challenges. With backgrounds in engineering, medicine, and construction, our team combines technical expertise with a passion for human‑centered impact. From supporting classrooms in Ethiopia to exploring sustainable housing solutions, we aim to create real, measurable change where it’s needed most.

We’re looking for dedicated volunteers who are passionate about making a difference. Whether you’re interested in helping with social media, writing, outreach, or graphic design, we’d love to have you on board. Reach out today and be part of a team that’s working to create sustainable, systemic change!

The Chamber of Us (TCUS) is a nonprofit building Libelle
, an open and transparent volunteer-matching tool. Most résumé screeners are black boxes. Libelle is different – explainable, auditable, and designed for fairness.

We are close to launching our MVP and need help improving how our parser reads résumés, using clear, explainable rules (not black-box machine learning).

Hundreds of skilled volunteers have already expressed interest in TCUS. To match them with meaningful projects, we need better logic to extract fields (skills, education, experience, location, name) from text résumés. This role helps us get there quickly.

• Design and implement heuristics to extract key résumé fields (skills, education, experience, location, name).
• Create an explainable confidence-scoring scheme.
• Document rules clearly so non-developers can review and iterate.
• Collaborate asynchronously with other volunteer developers.

• Strong analytical and logical thinking; ability to turn ambiguity into clear rules.
• Comfortable with Python for text parsing (string operations, tokenization, small utilities).
• Experience designing heuristics (beyond regex) and balancing precision/recall.
• Familiarity with fuzzy matching (Levenshtein/rapidfuzz), token overlap (Jaccard), or dictionary-based lookups.
• Familiarity with Google Sheets/Drive APIs (nice to have, not required).

• Real impact your work will directly enable us to connect volunteers with opportunities.
• Hands‑on experience in rule‑based NLP and confidence scoring.
• A short, visible contribution to an MVP that launches this fall.
• A chance to be part of a growing, global, mission‑driven network.

This is a short‑term role (2–3 week sprint, flexible hours). You’ll work remotely and collaborate asynchronously with our distributed volunteer team.