Coding Expert (US & International)
At a glance
Highlights
- open-source standard
- enterprise security features
- flexible project-based work
- variable hours
- training provided
Why this role might suit you
The role provides experience with a leading AI data platform, exposure to advanced model evaluation tasks, and flexible remote work on high-impact projects that shape cutting-edge AI capabilities.
Skills
About the role
The future of AI — whether in training or evaluation, classical ML or agentic workflows — starts with high-quality data.
At HumanSignal, we’re building the platform that powers the creation, curation, and evaluation of that data. From fine-tuning foundation models to validating agent behaviors in production, our tools are used by leading AI teams to ensure models are grounded in real-world signal, not noise.
Our open-source product, Label Studio, has become the de facto standard for labeling and evaluating data across modalities — from text and images to time series and agents-in-environments. With over 250,000 users and hundreds of millions of labeled samples, it’s the most widely adopted OSS solution for teams working on building AI systems.
Label Studio Enterprise builds on that traction with the security, collaboration, and scalability features needed to support mission-critical AI pipelines — powering everything from model training datasets to eval test sets to continuous feedback loops.We started before foundation models were mainstream, and we’re doubling down now that AI is eating the world. If you're excited to help leading AI teams build smarter, more accurate systems — we’d love to talk.
Software Engineering Expert - Code Annotation & Evaluation Specialist
About the Role
HumanSignal is seeking highly qualified software engineering and computer science experts to contribute to cutting-edge AI development projects. This role involves evaluating, annotating, and validating code across multiple programming languages and domains to improve AI model performance in software development and problem-solving.
Compensation
Up to $110 USD/hour based on qualifications and project complexity
Required Qualifications
Education
Master's degree required in a computer science or software engineering-related field
PhD strongly preferred in:
Computer Science
Software Engineering
Computer Engineering
Computational Science
Information Science
Or closely related technical disciplines
Degree Field Requirements
Candidates must hold degrees directly in computer science, software engineering, or computationally-intensive fields. Acceptable programs include:
Computer Science
Software Engineering
Computer Engineering
Computational Science
Information Technology (with strong programming foundation)
Data Science/Machine Learning
Electrical Engineering (with software emphasis)
Responsibilities
Review and evaluate code for correctness, efficiency, and best practices
Annotate code logic, algorithms, and implementation approaches
Validate AI-generated code across various programming languages and frameworks
Identify bugs, security vulnerabilities, and performance issues
Provide detailed feedback on code quality, structure, and documentation
Work with problems spanning algorithms, data structures, system design, and software architecture
Qualifications
Deep understanding of software engineering principles across multiple domains
Proficiency in multiple programming languages
Strong analytical and problem-solving skills
Excellent attention to detail and code quality standards
Ability to clearly articulate technical reasoning and trade-offs
Experience with version control, testing frameworks, and development tools
Familiarity with software development methodologies
Ability to work independently and meet deadlines
Work Details
Flexible, project-based work - work on your own schedule
Remote position - work from anywhere
Variable hours based on project availability and your capacity
Ongoing training and calibration provided
Quality-focused environment with performance feedback
Ideal Candidate Profile
Active software engineers, researchers, professors, or recent graduates in CS/engineering fields
Strong GitHub/portfolio or demonstrated technical expertise
Experience in software development, research, or industry applications
Passion for advancing AI capabilities in software development domains
How to Apply
Interested candidates should be prepared to:
Submit CV/resume highlighting technical qualifications
Provide proof of advanced degree(s)
Complete a brief coding assessment
Participate in a qualification review
Compensation
This Full-Stack Engineer role pays $0k/yr. Within typical range for full-stack engineer roles in United States.
Questions about this role
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