Overview
Remote
$80 - $125
Full Time
No Travel Required
Skills
API
Amazon Web Services
Artificial Intelligence
Benchmarking
C
C++
Collaboration
Communication
Debugging
Dropbox
Evaluation
IBM
Java
JavaScript
Large Language Models (LLMs)
Microsoft
Prototyping
Python
React.js
Research
Rust
Scalability
Software Architecture
Software Engineering
Training
Job Details
Project Overview
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
- Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of the code and identify error patterns.
- Hypothetize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operation maintenance) and evaluate model capabilities on them
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
Required Skills
- Several years of software engineering experience, including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research).
- Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
Engagement Details
- Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required)
- Type: Contractor (no medical/paid leave)
- Duration: 1 month (starting next week; potential extensions based on performance and fit)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.