Senior Software Engineer

What you would do

• Review AI submissions for correctness, performance, code quality, and adherence to engineering principles
• Craft coding problems spanning algorithms, data structures, and system design at multiple difficulty levels
• Write reference solutions and comprehensive test cases that catch common mistakes and edge cases
• Analyze models' reasoning about architecture, debugging approaches, and technical tradeoff decisions
• Provide specific technical feedback explaining engineering tradeoffs and best practices in the domain

Who they want

• One or more years working as an engineer at a major technology company, including hands-on development in the past 7 years
• Based in an English-speaking country and able to work on flexible schedule
• Strong ability to articulate technical reasoning and explain engineering decisions in writing
• Deep understanding of algorithms, data structures, system design, and architectural patterns
• Experience with code reviews, debugging complex systems, and teaching engineering concepts to others

Main skills

What the interview asks about

1. 1.Identifying subtle code defects

   AI models often produce code that passes obvious tests but fails on subtle edge cases or performance cliffs. You must think like a rigorous code reviewer.

   For example: “An AI-generated sorting function passes test cases for sorted, reverse-sorted, and random arrays but uses a naive partition strategy. What's the performance risk and how would you probe for it?”

2. 2.Designing problems by skill level

   Training a model requires problems that expose gaps in its reasoning without being impossible. Difficulty calibration directly impacts model improvement.

   For example: “You're designing a hash table problem. How would you structure three versions - easy, medium, hard - to differentiate between basic implementation and deep understanding of collision handling?”

3. 3.Writing edge-case test coverage

   Test cases directly teach models about hidden assumptions and boundary conditions. Your coverage reveals what the model doesn't understand.

   For example: “For a tree traversal problem, you've written tests for empty trees, single nodes, and balanced trees. What categories of edge cases might you still be missing?”

4. 4.Evaluating architectural tradeoffs

   Real systems involve competing concerns: consistency vs. availability, latency vs. throughput. You assess whether models understand these fundamental tensions.

   For example: “An AI proposes a caching strategy for a frequently-accessed dataset. What questions would you ask to evaluate whether it understands cache invalidation complexity?”

5. 5.Explaining complex reasoning clearly

   Models learn from your explanations. Vague feedback like 'this is inefficient' teaches nothing. You must explain the specific mechanism of why something fails.

   For example: “A model's solution to a concurrency problem works in testing but isn't thread-safe under high load. How do you explain the race condition and why it matters in your feedback?”

A task you may get

Review a coding solution for a hash table implementation, identify 3-4 potential issues (correctness, performance, or design), and write a reference solution plus 5-7 test cases that would catch these problems.

How to prepare

• Revisit fundamental algorithms and data structures, understanding both standard and edge-case behaviors
• Review recent coding problems from interview platforms to calibrate difficulty levels and common gaps in AI reasoning
• Practice articulating the 'why' behind engineering decisions - when would you choose linked list over array, when does memoization help
• Study how strong code reviewers explain defects and suggestions, focusing on clarity and actionability

The facts

Pay

$245–280/hr

Open to

Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia

Field

Software Engineering

Role type

Expert

Posted

8/27/2026

Places left

100

We wrote this page from the public micro1 listing. It may be out of date, so read the full posting before you apply.