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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>
<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, 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>

C++ Software Engineer - Ai Training

<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

Accenture

<div><div>Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</div><p></p><div><div><div><div><div><div><div><div><div><p><b>
What&rsquo;s in it for you?</b></p><p></p><p>
✨<b>Work-Life Balance: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
<b>Transportation</b>: Shuttle service / Transportation support</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div><div><p>We are seeking a versatile Embedded Software Engineer to work across the full depth of MCU-based automotive software-from bare-metal BSP development and AUTOSAR Classic integration to safety-critical multi-core partitioning. This role demands both breadth and depth: you will bring up hardware, configure complex middleware stacks, and ensure that safety mechanisms meet the highest automotive integrity levels.</p></div><div><p>
If you want to touch every layer of an MCU software platform, from the first JTAG connection to ASIL-D certified safety modules, this is your role.</p></div><p></p><div><p><b><br>
Key Responsibilities:</b></p></div><div><p>
Your work will span three interconnected domains of MCU software engineering:</p></div><div><ul><li> Hardware Bring-up &amp; BSP: Lead the initial power-on and functional validation of MCU platforms. Develop and maintain Board Support Packages based on SoC drivers, including I/O configuration, system initialization sequences, and Flash driver development. Utilize JTAG for low-level debugging and trace.</li></ul></div><div><ul><li> AUTOSAR Classic Integration: Integrate and configure the full ICC1 software layer, including:</li></ul></div><div><ul><li>Diagnostics: DEM, DCM, J1939, OBD</li></ul></div><div><ul><li>Communication: COM, Routing, SecOC, Network Management (NM)</li></ul></div><div><ul><li>Memory &amp; Calibration: NVM (Flash, Calibration), XCP</li></ul></div><div><ul><li>System Services: RTE, Lifecycle, OS, Logging/DLT, Time-Sync (PTP)</li></ul></div><div><ul><li>Reference Applications: Develop and maintain reference applications to validate stack functionality.</li></ul></div><div><ul><li> Multi-Core &amp; Functional Safety: Implement MPU configurations and safety mechanisms for ASIL-D compliant modules. Develop and validate safety-critical versions of software components across multi-core MCU architectures (ASIL-D and QM partitions).</li></ul></div><p></p><div><p><b><br>
Candidate Profile:</b></p></div><div><p>
We need an engineer who is equally comfortable with a soldering iron's data sheet and an AUTOSAR configuration tool-someone who can bridge the gap between hardware and middleware.</p></div><div><p><b>
Core Requirements:</b></p></div><div><ul><li> Low-Level C/C++: Mastery of C and C++ for bare-metal and RTOS-based embedded environments.</li></ul></div><div><ul><li> Hardware Bring-up: Proven experience in powering on MCU/SoC platforms and validating hardware-software interfaces.</li></ul></div><div><ul><li> Driver &amp; BSP Development: Strong background in writing peripheral drivers and Board Support Packages.</li></ul></div><div><ul><li> JTAG &amp; Debugging: Expert-level experience with hardware debugging tools (e.g., Lauterbach Trace32) and trace analysis.</li></ul></div><div><p><b>
Preferred Qualifications (Nice to Have):</b></p></div><div><ul><li> Classic AUTOSAR: Experience with AUTOSAR Classic architecture, ICC1/ICC3 layers, or AUTOSAR configuration tools (e.g., Vector DaVinci, EB tresos).</li></ul></div><div><ul><li> Functional Safety (FuSa): Experience with ISO 26262, particularly ASIL-D development and freedom from interference concepts.</li></ul></div><div><ul><li> ASPICE: Familiarity with Automotive SPICE processes and quality standards.</li></ul></div><div><ul><li> Multi-Core Systems: Understanding of multi-core partitioning, core pinning, and shared resource management in safety-critical contexts.</li></ul></div><p></p><div><p><b><br>
Why Join Us?</b></p></div><div><p>
This role offers a rare opportunity to work across the entire MCU software stack-from the silicon interface to safety-certified application layers. You will be instrumental in building the robust, safety-proven foundation that next-generation vehicles depend on for their most critical functions.</p></div><p><b><br>
#GreatPlaceToWork</b></p><p><b>
#ApplyNow!</b></p></div><p></p>

Embedded Software Engineer – MCU AUTOSAR & Functional Safety

<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

Go/Golang Developer - Ai Training

Java Developer- Ai Training

Skm Group

<p>We are seeking a <b>Lead AI Engineer</b> to design and deliver secure, production-ready AI capabilities within a large enterprise tax platform hosted on Azure.</p><p>The platform supports corporate tax calculation, collaboration, and client reporting, and is built on <b>.NET 8, Angular micro frontends, SQL Server, and Azure cloud services</b>. This role will architect and integrate advanced AI features into this mission-critical system.</p><p>Key Focus Areas</p><ul><li>Architect and implement <b>LLM integrations</b> (Azure OpenAI preferred)</li><li>Design robust <b>RAG pipelines</b> (embeddings, chunking, vector search, re-ranking)</li><li>Build secure, async backend services using <b>Python and FastAPI</b></li><li>Ensure enterprise-grade <b>security, PII protection, and compliance</b></li><li>Design scalable <b>Azure-native architectures</b> (App Services, Functions, Service Bus, Event Grid)</li><li>Implement AI observability and evaluation frameworks</li><li>Drive performance tuning and advanced SQL Server optimization</li><li>Establish DevOps best practices and CI/CD standards</li></ul><p>Profile</p><ul><li>Expert-level Python and FastAPI experience</li><li>Strong SQL Server and ORM expertise</li><li>Deep Azure architecture knowledge</li><li>Proven production LLM and RAG implementation experience</li><li>Strong prompt engineering and tool-calling design</li><li>Experience with event-driven systems and secure API design</li><li>Hands-on use of AI-assisted development tools (Copilot, Cursor)</li></ul><p><b>Why Join Us</b></p><ul><li>Work in a modern <b>software development company</b> with international clients</li><li>Be part of a collaborative, supportive team</li><li>Learn how tech recruitment works end-to-end</li><li>Flexible working model and long-term growth opportunities</li><li>Company apartments in cool cities across Europe: work and enjoy a memorable getaway</li></ul><p><b>About Us</b></p><p>We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.</p><p>Job Type: Full-time</p><p>Pay: Up to 300,000.00TRY per month</p><p>Experience:</p><ul><li>Python: 5 years (Required)</li><li>AI: 4 years (Required)</li></ul><p>Work Location: Remote</p>

Lead AI Engineer [cd303]

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