Software Engineer - AI Code Evaluation
2 days ago⚠️ Before applying, please carefully review all the job requirements
- Location:
- United States
- Work Arrangement:
- Full Remote
- Experience:
- 3 years
- Job Type:
- Contract
- Company:
- Gramian
- Salary:
- Negotiable
- Posted:
- 2026-10-14
- Seniority:
- Mid-Senior
- Language:
- Strong written English
- Study At:
- United States, Canada, Australia, New Zealand, or the United Kingdom
Job Overview
- This listing is for a Software Engineer - AI Code Evaluation position. For salary, the listing states rs,. Skills mentioned in the listing include Artificial Intelligence. The listing is aimed at the following profile: 3 years. For general context: Artificial intelligence is increasingly part of everyday software products. Interested candidates can review the full details below and apply using the link provided on this page.
What These Requirements Mean in Practice
- ★ Artificial Intelligence: A general understanding of how AI systems learn from data, where they are useful, and where they can be unreliable.
Skills to Brush Up Before Applying
- ★ Artificial Intelligence: supervised versus unsupervised learning, common real-world use cases, limitations and bias
Who May Be a Good Fit for This Role?
- This role may be suitable for candidates who match the skills and experience described in the requirements. Applicants with working knowledge of Artificial Intelligence may feel well prepared for what the listing describes. This is editorial guidance only, and the employer makes the final decision on suitability.
Application Tips
- Applicants may want to highlight relevant experience with Artificial Intelligence in their CV. If you have used AI tools or built small projects with language models, briefly describe what you built and how you checked the results. Keep your CV to the point and tailor the summary to this role rather than sending a generic version. These are general tips, not requirements stated by the employer.
Prepare for Your Interview
- These suggested questions can help you prepare for an interview by focusing on the skills, responsibilities, and technical areas relevant to this role. They are for preparation only and are not confirmed employer questions.
- Q: How would you explain the difference between traditional programming and machine learning to a non-technical person?
- Q: Where could AI add value to a typical web application, and what risks should you plan for?
- Q: Which project are you most proud of, and what part of it did you personally build?
- Q: How do you approach learning a new tool or framework when you have a tight deadline?
- Q: Describe a bug that took you a long time to solve. What steps did you take to find the cause?
- Q: How do you keep your code readable and maintainable when working in a team?
- Q: Describe a time you received critical feedback on your work and how you responded.
- Q: How do you prioritise your work when several tasks are due at the same time?
Interested Candidates Fill the Application Form: Apply Here
