Apply as a Subject Matter Expert Role Description As a remote, hourly paid Bash/PowerShell Engineer, you will review AI-generated responses and generate high-quality automation-focused content, evaluating the reasoning quality and step-by-step problem-solving behind scripts and troubleshooting workflows. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, safety, or portability; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct scripting patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, directly helping to improve the world’s premier AI models. Your Profile Expert-level proficiency in Bash and/or PowerShell scripting. 2–3+ years of hands-on experience in at least one of Bash or PowerShell. Strong experience writing, debugging, and maintaining shell or object-based automation scripts. Ability to evaluate scripts for correctness, readability, safety, performance, and portability across environments. Professional experience in software engineering, DevOps, IT automation, or infrastructure-focused roles. Minimum Bachelor’s degree in Computer Science or a closely related technical field. Significant experience using large language models (LLMs) while coding, troubleshooting, and reviewing scripts. Excellent English writing skills with the ability to document and explain complex automation clearly. Highly preferred: For Bash, strong comfort with awk, sed, and grep; for PowerShell, experience with PowerShell Core, DSC, and Azure PowerShell modules. Preferred: Merged PRs in CLI, DevOps, or infrastructure-related open-source projects; familiarity with CI pipelines, automation workflows, or cloud scripting; previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency. Key Responsibilities Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. Why Work with us? Want to be a part of a forward-thinking team and help us train AI to communicate more effectively? At SME Careers, we connect skilled professionals with opportunities in the rapidly evolving AI industry.
Apply as Subject Matter Expert Role Description As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work. Your Profile 1–2+ years of professional Rust development experience in backend, CLI, or systems-focused projects. Strong understanding of Rust’s ownership, borrowing, and lifetime model, with the ability to reason clearly about aliasing and data races. Solid software engineering experience in at least one of backend services, command-line tools, or systems programming using Rust. Ability to evaluate safe, idiomatic Rust code, including appropriate use of traits, generics, pattern matching, and error handling. Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output. Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations. Minimum Bachelor’s degree in Computer Science or a closely related technical field. Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required. Highly preferred: experience with Tokio, Actix, Serde, and async Rust patterns in production or advanced side projects. Preferred: competitive programming experience, contributions to Rust open-source ecosystems, and demonstrated ability to reason about performance, concurrency, and correctness in Rust code. Key Responsibilities Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Apply as a Subject Matter Expert Role Description As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide. Your Profile Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field. 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications. Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL. Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management. Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools. Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines. Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability. Comfort working with version control, CI/CD workflows, and automated testing frameworks in modern C++ projects. Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus. Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex C++ code. Key Responsibilities Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects. Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance. Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.