Heuristics & Confidence Scoring Developer

Overview

Join to apply for the Heuristics & Confidence Scoring Developer role at The Chamber of Us
.

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.

The Chamber of Us (TCUS) is a nonprofit building Libelle
, an open and transparent volunteer-matching tool. 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.

• Seniority level:
  Associate
• Employment type:
  
  Not specified
• Job function:
  Engineering and Information Technology
• Industries:
  Civic and Social Organizations and Non-profit Organizations

Location:

Raleigh, NC

Salary range in listing: $-$