Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.
This role is for one of our clients
$100 - $230/hourpay
Role Title: Senior Software Engineer
Role Type: Contractor (~15 hrs a week)
Location: Remote
We are seeking experienced Software Engineering Experts to help train next-generation AI systems through high-quality technical contributions. Your software engineering expertise will be used to create realistic coding environments, develop reference solutions, and evaluate complex engineering tasks that improve AI reasoning and problem-solving capabilities.
In this role, you will design reproducible software engineering challenges covering bug fixing, feature development, code refactoring, and performance optimization. No prior AI experience is required—your expertise in software development is what matters.
RequirementsKey Responsibilities
- Design reproducible software engineering environments for evaluating AI model performance.
- Develop high-quality reference ("golden") solutions for complex programming challenges.
- Contribute expert-level code samples in one or more of the following languages:
- Python
- Java
- Rust
- Go
- C++
- TypeScript
- Analyze, debug, and resolve complex software defects across diverse codebases.
- Design, implement, and validate scalable software features following industry best practices.
- Refactor legacy applications to improve maintainability, readability, and performance.
- Optimize software systems by identifying bottlenecks and improving efficiency.
- Document technical reasoning, implementation decisions, and solution methodologies to improve AI training quality.
- Review and validate technical submissions, ensuring correctness, clarity, and engineering excellence.
- Collaborate remotely with cross-functional teams to continuously improve project quality and deliverables.
- Strong hands-on experience with at least one of the following programming languages:
- Python
- Java
- Rust
- Go
- C++
- TypeScript
- Deep understanding of algorithms, data structures, object-oriented programming, and software engineering principles.
- Proven experience debugging complex software systems and resolving production issues.
- Experience implementing scalable software features throughout the software development lifecycle.
- Strong background in refactoring and modernizing existing codebases.
- Excellent analytical, problem-solving, and debugging skills.
- Ability to communicate technical concepts clearly through written documentation.
- Comfortable working independently in a fully remote environment.
- Experience working with large-scale or distributed software systems.
- Background in software architecture, performance optimization, or system design.
- Experience contributing to open-source projects or maintaining production-grade applications.
- Familiarity with code reviews, engineering best practices, and collaborative software development workflows.
- Interest in artificial intelligence, machine learning, or AI-assisted software development (prior AI experience is not required).
- Performance-based compensation paid per successfully completed task.
- Earnings are based on completed work that meets project quality requirements.
- Minimum weekly task submission requirements apply.
- Fast onboarding process with opportunities to begin contributing within 24–48 hours after successful onboarding.
- Immediate availability is preferred.
- Software Engineering
- Python / Java / Rust / Go / C++ / TypeScript
- Algorithms
- Data Structures
- Debugging
- Code Refactoring
- Performance Optimization
- Distributed Systems
- System Design
- Software Architecture
- Open Source Contributions
- AI/ML Interest
- Technical Documentation
Similar Jobs
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Provides systems safety engineering for aircraft turbine engines and auxiliary power systems. Conducts hazard and safety analyses, develops safety requirements and documentation, supports FAA and EASA compliance, performs reliability analysis, and reviews designs. Collaborates across engineering teams on risk mitigation, corrective actions, and aftermarket safety metrics. The role also supports process standardization, automation, AI application, technical coaching, innovation, and strategies to reduce certification cycle time and cost.
Top Skills:
Artificial IntelligenceDoorsDoors NgModel-Based Systems Engineering
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads embedded software and firmware development for processor simulators and emulators, including requirements, architecture, design, coding, qualification, and technical support. Develops QEMU and KVM-based tools, ports Linux or RTOS to SoCs, and works with ARM architectures and low-level hardware interfaces. Owns simulator strategy, roadmaps, issue resolution, design decisions, stakeholder collaboration, process improvement, and team mentoring while driving innovation and competitive product development.
Top Skills:
ArmAssemblyBitbucketCC++Do-178B/CDo-330DoorsEclipseEthernetGdbGpioKvmLauterbachLinuxMpsocPciQemuRtosSocSvnTrace32Visual Studio
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads reactive and proactive incident response engagements across India and APAC. Performs advanced host and network forensics on Windows, macOS, and Linux; advises customers during security incidents; develops remediation plans; presents findings to technical and executive audiences; and mentors junior team members. The role also involves threat intelligence, adversary attribution, thought leadership, and applying AI technologies to improve workflows and decision-making.
Top Skills:
Artificial IntelligenceComputer Forensics ToolsLinuxmacOSNetwork Analysis ToolsNetwork ProtocolsWindows
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
