go developer

YO IT CONSULTING

<div><p><b>Work Mode:</b> Remote<br>
<b>Engagement Type:</b> Independent Contractor<br>
<b>Schedule:</b> Full-Time or Part-Time Contract</p>
<p><b>Language Requirement:</b> Fluent English</p>
<div><h3 class="jobSectionHeader"><b>Role Description</b></h3>
As an hourly-paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go 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, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, Careers, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the world&rsquo;s largest AI companies and foundation model labs, and your work will directly help improve the world&rsquo;s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.</div>
<div><h3 class="jobSectionHeader"><b>Your Profile</b></h3>
<ul><li>2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.</li>
<li>Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.</li>
<li>Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.</li>
<li>Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.</li>
<li>Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.</li>
<li>Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.</li>
<li>Minimum Bachelor&rsquo;s degree in Computer Science or a closely related technical field.</li>
<li>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.</li>
<li>Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.</li>
<li>Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.</li>
</ul></div><div><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>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.</li>
<li>Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.</li>
<li>Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.</li></ul></div></div>

Golang/Go Developer LLM - Remote

<div><p><b>Work Mode:</b> Remote<br>
<b>Engagement Type:</b> Independent Contractor<br>
<b>Schedule:</b> Full-Time or Part-Time Contract</p>
<p><b>Language Requirement:</b> Fluent English</p>
<p><b>Role Overview</b></p>
<p>We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems.</p>
<p>This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels.</p>
<p>The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts.</p>
<div><b>What You&rsquo;ll Do</b><br>
Evaluate LLM-generated responses to coding and software engineering queries for accuracy, reasoning, clarity, and completeness<br>
Conduct fact-checking using trusted public sources and authoritative references<br>
Conduct accuracy testing by executing code and validating outputs using appropriate tools<br>
Annotate model responses by identifying strengths, areas of improvement, and factual or conceptual inaccuracies<br>
Assess code quality, readability, algorithmic soundness, and explanation quality<br>
Ensure model responses align with expected conversational behavior and system guidelines<br>
Apply consistent evaluation standards by following clear taxonomies, benchmarks, and detailed evaluation guidelines</div>
<div>
</div><div><b>Who You Are</b><br>
You hold a BS, MS, or PhD in Computer Science or a closely related field<br>
You have significant real-world experience in software engineering or related technical roles<br>
You are an expert in at least one relevant programming language (e.g., Python, Java, C++, JavaScript, Go/Golang, Rust)<br>
You are able to solve HackerRank or LeetCode Medium and Hard&ndash;level problems independently<br>
You have experience contributing to well-known open-source projects, including merged pull requests<br>
You have significant experience using LLMs while coding and understand their strengths and failure modes<br>
You have strong attention to detail and are comfortable evaluating complex technical reasoning, identifying subtle bugs or logical flaws</div>
<div>
</div><div><b>Nice-to-Have Specialties</b><br>
Prior experience with RLHF, model evaluation, or data annotation work<br>
Track record in competitive programming<br>
Experience reviewing code in production environments<br>
Familiarity with multiple programming paradigms or ecosystems<br>
Experience explaining complex technical concepts to non-expert audiences</div>
<div>
</div><div><b>What Success Looks Like</b><br>
You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions<br>
Your feedback improves the correctness, robustness, and clarity of AI coding outputs<br>
You deliver reproducible evaluation artifacts that strengthen model performance</div></div>

Go/Golang Developer LLM - Remote

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Golang/Go Developer LLM - Remote

Golang/Go Developer LLM - Remote

Golang/Go Developer LLM - Remote

Golang/Go Developer LLM - Remote

Go/Golang Developer LLM - Remote

Go/Golang Developer LLM - Remote

Go/Golang Developer LLM - Remote