Weekday, Inc. Logo

Weekday, Inc.

Software Engineer, C - Codebase Q&A

Posted 7 Days Ago
Remote
Hiring Remotely in United States
130K-130K Annually
Mid level
Remote
Hiring Remotely in United States
130K-130K Annually
Mid level
Build and validate reinforcement-learning tasks for AI agents exploring unfamiliar C repositories. Responsibilities include investigating runtime behavior, rewriting engineering questions, refining rubrics and foils, running validation workflows, documenting solutions, and addressing expert review. Work focuses on production systems such as PostgreSQL, Redis, OpenSSH, OpenSSL, and other foundational C codebases.
The summary above was generated by AI

This role is for one of our clients

Compensation: $130 per task

We are seeking experienced C engineers to build the dataset that teaches AI agents to reason about real codebases.

Codebase Q&A is a reinforcement-learning environment for training AI agents to explore and reason about software repositories they have never seen before. You will build difficult codebase-exploration tasks: high-level engineering questions about foundational C systems that cannot be answered by reading a single file, and that require runtime evidence to resolve — the kind of question a senior engineer answers by actually investigating the system.

This track works on some of the most consequential C codebases in production anywhere: PostgreSQL, Redis, git, OpenSSH, OpenSSL, curl, libuv, libgit2, libarchive, Open vSwitch, tcpdump, tmux and zstd.

Contract, task-based work paid at $130 per approved task, performed remotely in our Studio.


Requirements

Key Responsibilities

  • Select tasks from a pre-validated pool of C repositories, each pinned to a specific git commit and arriving with an engineering question, positive and negative rubrics, foils, and a golden solution
  • Explore the repository until you genuinely understand the subsystem in question, including the relevant PR or issue history
  • Rewrite the task's question so it defeats frontier coding agents while remaining well-defined and fairly answerable
  • Adjust rubrics and foils so they reward correct reasoning and reject plausible-but-wrong answers
  • Run the full validation loop in Studio — Check, Golden, Run, Analyze — and iterate until every stage passes
  • Document your work in the task README and submit for expert review, addressing reviewer feedback on returned tasks

Ideal Qualifications

  • 3+ years of professional software engineering experience, with substantial production C
  • Demonstrated ability to navigate a large, unfamiliar C codebase and explain how it behaves at runtime — not just what the source says
  • Comfort with the things that make C systems hard to read: preprocessor-heavy builds, platform conditionals, manual memory management, and autotools/CMake/Meson build graphs
  • Experience with databases, cryptography, networking protocols, or systems programming is highly relevant — the task mix is weighted toward architecture and system design (39%) and code onboarding (34%), with a meaningful security slice
  • Ability to use debuggers, sanitizers, tracing, and profilers to establish what the code actually does
  • Precise written English: the questions and rubrics you write are the product

Working Details

  • Fully remote and asynchronous, with expert team leads across US, India, and Nigeria time zones
  • Work is performed in our Studio; time is tracked with Insightful, and platform access is provisioned through Okta
  • Onboarding requires identity verification, a background check, signed Terms of Work and CIIAA, a tax form, and passing a short calibration quiz before task access is granted
  • Payment is per approved task; every task is reviewed by a second engineer and a super reviewer before acceptance

Application Process

  • Submit your resume or relevant technical background to get started
  • Qualified applicants may be asked to complete a brief technical assessment or provide additional information

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Similar Jobs

21 Minutes Ago
Remote
USA
200K-300K Annually
Senior level
200K-300K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Own production operations for workplace AI platforms, including configuration, integrations, observability, secrets, access controls, model and prompt changes, benchmarking, and incident response. Translate technical findings into governance, risk, compliance, and training materials while collaborating with Security, Legal, HR, and business stakeholders. Investigate failures, implement mitigations, document root causes, and maintain reliable, secure AI services.
Top Skills: Access ControlAi/Llm PlatformsAlertingAPIsInfrastructure As CodeJSONLoggingMetricsMonitoring And ObservabilityPrompt EngineeringRpa/Workflow EnginesSecrets ManagementYaml
22 Minutes Ago
Remote
USA
143K-214K Annually
Senior level
143K-214K Annually
Senior level
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and lead a scalable application security and secure SDLC program across engineering teams. Establish policies, standards, tooling, vulnerability management, threat modeling, developer enablement, security champions, software supply-chain controls, and executive reporting. Partner with development, platform, DevOps, product, and leadership teams to integrate security into CI/CD, source control, build, release, and deployment workflows while supporting audits, advisories, incident response, and regulatory requirements.
Top Skills: Api SecurityBlack DuckBurp SuiteCheckmarxCi/CdContainer Security ScanningCyclonedxDastGithub Advanced SecurityGitlab Security ToolsInfrastructure-As-Code Security ScanningKubernetesMendNist Sp 800-218Nist SsdfOwasp SammOwasp ZapSastSbomScaSecrets DetectionSemgrepSlsaSnykSonarqubeSpdxVeracodeVex
22 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
80K-100K Annually
Senior level
80K-100K Annually
Senior level
AdTech • Artificial Intelligence • Cloud • Digital Media • Marketing Tech • Analytics • Consulting
Lead client-facing analytics consulting engagements, implementing Google Analytics and tag management solutions with minimal oversight. Analyze client data, develop technical strategies, connect marketing platforms, manage project tasks in Asana, communicate with clients, and support consultant mentoring and training. The role requires strong implementation expertise, data visualization skills, project management experience, and familiarity with analytics, customer data, mobile, consent management, and cloud platforms.
Top Skills: Adobe AnalyticsAdobe LaunchAmazon Web ServicesAsanaData StudioGoogle AnalyticsGoogle Cloud PlatformGoogle Tag ManagerLookerAzurePower BISegmentTableauTealium Tag Management System

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account