global part supply & material planning engineer

process engineer

ai trainer/data annotator - remote Jobs in Turkey

ai trainer/data annotator - remote

global part supply & material planning engineer Jobs in Turkey

machine learning engineer

spare part main engineer h/f Jobs in Turkey

spare part main engineer h/f

data engineer

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Our client is a global jewelry manufacturer that is transforming the retail experience with cutting-edge technology. The mission is to provide an exceptional shopping experience to our customers by leveraging data-driven insights and innovative solutions. We are looking for a talented Data Engineer to join our dynamic team and help us shape the future of retail, where you will play a critical role in developing and maintaining robust data pipelines in both Azure Synapse and Databricks.</p><p>
Joining our team, you will contribute to building a solid foundation for the data infrastructure, supporting our marketing analytics organization's goal of becoming more data-driven and customer-centric. You will collaborate closely with cross-functional teams, helping to drive impactful data product deliveries and optimizing our analytical framework for scalable insights globally.</p>
</div><div><ul><li><p>Develop and maintain data products and pipelines in Databricks, Azure Data Factory and Azure</p><p></p>
Synapse Analytics</li><p></p><li><p>
Communicate with stakeholders and users of our data products by understanding their problems and supporting them in their needs</p></li><li><p>
Optimize data pipelines for performance and scalability, automating repetitive tasks to improve</p><p></p>
efficiency and reduce the time from data ingestion to actionable insights</li><p></p><li><p>
Implement and maintain data quality processes, including data validation, cleansing, and error</p><p></p>
handling, to ensure high data integrity across all systems</li><p></p><li><p>
Improve existing data integration processes to provide better reliability and robustness</p></li><li><p>
Partner with product managers, analysts, and business stakeholders to understand data</p><p></p>
requirements, provide data engineering support, and ensure data is accessible and usable for<p></p>
analysis and reporting</li><p></p><li><p>
Stay up-to-date with the latest trends and best practices in data engineering, bringing innovative</p><p></p>
ideas and solutions to improve our data infrastructure and capabilities</li></ul><p></p>
</div><div><ul><li><p>4+ years of experience as a Data Engineer, ETL Developer, or similar role</p></li><li><p>
Experience with Azure Synapse Analytics</p></li><li><p>
Strong knowledge of SQL and Spark SQ</p></li><li><p>
Understanding of dimensional data modelling concepts</p></li><li><p>
Understanding of streaming data ingestion processes</p></li><li><p>
Ability to develop &amp; manage Apache Spark data processing applications using PySpark on Databricks</p></li><li><p>
Experience with version control (e.g., Git), DevOps, and CI/CD</p></li><li><p>
Experience with Python</p></li><li><p>
Experience with Microsoft data platform, Microsoft Azure stack, and Databricks</p></li><li><p>
Experience in Marketing, Retail, and Ecom will be a plus.</p></li></ul><p><b>
Soft Skills:</b></p><p></p><ul><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul><p></p><ul><li>Excellent communication skills, with the ability to translate technical concepts into business-friendly language.</li></ul><p></p><ul><li>Detail-oriented with a commitment to delivering high-quality, reliable data solutions.</li></ul><p></p>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Middle
</div></div><div><p>Technologies:
</p><div>Data
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Data Engineer

<div><div><div><div><ul><li><b>REQ-10108572</b></li>
<li><b>18/02/2026</b></li>
<li><b>IT Engineering</b></li>
<li><b>Istanbul, Turkije</b></li>
<li><div><b>ING Hubs</b></div></li></ul><p></p><div><br>
</div></div></div></div><p></p><div><div><div><div><div><p><b>About ING Hubs</b></p><p>
Following ING&rsquo;s strategic ambition to deliver a superior eperience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated epertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.</p><p></p><p>
                                ,               ,                 ,   ℎ     ℎ                                        ,                                         ℎ     11,000                                                      ℎ                                             ,                              ,                                 -                           .</p><p></p><p>
ING Hubs Turkiye core capabilities,                                                , have us looking for data eperts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.</p><p></p><p>
                                     ̈          </p><p>
ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an eisting framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.</p><p></p><p>
We value strong work ethics, knowledge sharing and fleibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!</p><p></p><p><b>
The Team</b></p><p>
Within ING, there is ING Analytics (INGA) - a major driving force in its digital transformation of the bank.</p><p>
By creating measurable value for ING and its customers through world-class analytics products and services, INGA helps ING to become a leader in data-driven decision-making. Among others, INGA delivers call &amp; speech analytics, generative AI in risk summarization, insights into portfolio performance, advanced ESG data insights (commercial purposes), data analytics platforms (cloud and on-premises), and many more.</p><p></p><p><b>
Roles and Responsibilities</b></p><p>
We are looking for a MLE to join us in Istanbul. In this role, together with the data scientists, you will be responsible for streamlining the process of taking machine learning models to production, maintaining, and monitoring them. You will participate in designing and building the models, data pre-processing, performance tuning of ML models, and more.</p><p>
We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills. We hire people based on an evaluation of their potential and support them throughout their time in Katowice. Come join us!</p><p></p><p><b>
A working day in the life of a Machine Learning Engineer</b></p><p>
A typical day for a machine learning engineer starts with coffee, catching up with colleagues, and drafting a plan for the coming day. After the standup, you may start analyzing algorithms to identify which of them works well with the problem you are trying to solve. For the rest of the morning, you could eperiment in Jupyter notebook using Scikit Learn or use IDE to continue developing a class that implements a model or interfaces with the database.</p><p>
After lunch, meet with the team to discuss the net iteration of the product, or go over new features that need to be implemented and discuss how to create or calculate those features. Wrap up the day working on the monitoring tool for machine learning models.</p><p></p><p><b>
How to succeed</b></p><p></p><p><b>
Minimum Qualifications</b></p>
Bachelor's degree or equivalent practical e<ul><li>perience.</li>
E<li>cellent communication skills, capable of working collaboratively in a semi-remote, globally distributed team.</li>
Hands-on eperience building comple<li> data pipelines (e.g., in Apache Spark).</li>
Hands-on e<li>perience with technologies and frameworks used in ML (e.g., sklearn, MLFlow, etc.)</li><li>
Knowledge of software engineering best practices (versioning, testing, documentation, etc.)</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Curious mindset; you are collaborative and passionate about helping others to grow and improve.</li><li>
Knowledge of MLOps architecture and practices.</li>
E<li>perience with monitoring and observability.</li>
E<li>perience with deployment and provisioning automation tools and concepts, e.g., Docker, Openshift, CI/CD.</li><li>
Good understanding of different data storages (e.g., RDBMS, non-SQL, and time-series databases).</li></ul><p></p><p><b>
What We Offer at ING Hubs Turkiye</b></p><p></p><p>
At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your eperience is rewarding. Here&rsquo;s what you can epect when you join our organization:</p><p></p><p><b>
Be Yourself, Be an ING'er</b></p><ul><li><b>
Welcome Leave:</b>Enjoy 14 days of welcome leave, even in your first year! Don&rsquo;t postpone your dreams.</li><li><b>
Career Opportunities:</b>We provide self-driven career paths where you can navigate your professional journey.</li><li><b>
Personal Growth:</b>Engage in challenging work with endless opportunities to achieve your ambitions.</li><li><b>
Dynamic Environment:</b>Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.</li><li><b>
Innovation Culture:</b>Share your innovative ideas while eploring PACE methodology with us.</li><li><b>
Global Eposure:</b>Participate in global projects and epand your career opportunities.</li><li><b>
Communication &amp; Celebrations:</b>Enjoy various communication activities and celebrations that promote a friendly work environment.</li><li><b>
Health Care:</b>Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.</li><li><b>
Private Pension Plan:</b>Secure your future dreams with our private pension plan.</li></ul><p></p><div>
At ING Hubs Turkiye, your growth and happiness are our priorities. Join us and unlock your true potential in a fulfilling workplace!</div></div></div><p></p><div><ul><div><br>
</div><div></div><div>
</div></ul></div></div><div><div><div><div><div>Your place of work</div>
<div><div><b>Eplore the area</b></div><b>
</b></div></div></div><div><p>Vragen? Stel ze aan<br>
ING Recruitment Team
</p><div></div><div><div><div><b>Vraag via</b></div></div></div><p></p><div><br>
</div></div></div></div></div></div><div><div><div><div>Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behan iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.</div></div></div></div></div>

Machine Learning Engineer

YO IT CONSULTING

<div><p><b>Engagement Type:</b> Independent Contractor<br>
<b>Work Mode:</b> Fully Remote<br>
<b>Hours:</b> 30&ndash;40 hours/week or Full-Time (Flexible)</p>
<p></p><h3 class="jobSectionHeader"><b>About the Role</b></h3>
<p>We are partnering with a leading AI research lab to hire a highly skilled <b>Data Scientist with a Kaggle Grandmaster profile</b>.</p>
<p>In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions.</p>
<p></p><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li><p>Analyze large, complex datasets to uncover patterns and generate actionable insights</p>
</li><li><p>Build predictive models and ML pipelines across:</p>
<ul><li><p>Tabular data</p>
</li><li><p>Time-series data</p>
</li><li><p>NLP</p>
</li><li><p>Multimodal datasets</p>
</li></ul></li><li><p>Design and implement validation strategies, experimental frameworks, and analytical methodologies</p>
</li><li><p>Develop automated data workflows, feature pipelines, and reproducible research environments</p>
</li><li><p>Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations</p>
</li><li><p>Translate analytical results into clear recommendations for engineering, product, and leadership teams</p>
</li><li><p>Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale</p>
</li><li><p>Present findings via dashboards, structured reports, and documentation</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Required Qualifications</b></h3>
<ul><li><p>Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance)</p>
</li><li><p>3&ndash;5+ years of experience in data science or applied analytics</p>
</li><li><p>Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.)</p>
</li><li><p>Experience building ML models end-to-end (feature engineering, training, evaluation, deployment)</p>
</li><li><p>Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis</p>
</li><li><p>Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools)</p>
</li><li><p>Excellent communication skills and ability to present analytical insights clearly</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul><li><p>Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code)</p>
</li><li><p>Experience in AI labs, fintech, product analytics, or ML-driven organizations</p>
</li><li><p>Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data</p>
</li><li><p>Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.)</p>
</li><li><p>Familiarity with Bayesian methods or probabilistic programming frameworks</p>
</li></ul><p></p><h3 class="jobSectionHeader"><b>Why Join</b></h3>
<ul><li><p>Work on cutting-edge AI research workflows</p>
</li><li><p>Collaborate with world-class data scientists and ML engineers</p>
</li><li><p>Solve high-impact, real-world data science challenges</p>
</li><li><p>Experiment with advanced modeling strategies and competition-grade validation techniques</p>
</li><li><p>Flexible engagement options ideal for Kaggle-level problem solvers</p></li></ul></div>

Data Scientist - Kaggle Grandmaster

Commencis

<div><div>We are currently seeking a highly skilled <b>Senior Web Frontend Engineer</b> to join our team.</div><div></div><div><b><br>
Senior Web Frontend Engineer</b> will be responsible for the complete lifecycle of scalable, secure, and well-designed software products from research and design to implementation. Also she/he will be working closely with designers, analysts, quality assurance, and other teams to translate each design into real-life products.</div><div></div><div><b><br>
 If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!</b></div><br>
<div></div>
<h3 class="jobSectionHeader"><b>
Responsibilities
</b></h3><ul><li>Designing and developing Web Front-end software components based on core and client product specifications</li><li>
Maintaining and extending the functionality of existing Web Front-end software components</li><li>
Documenting the software components</li><li>
Implementing the unit tests</li><li>
Making architectural decisions in the enterprise projects.</li><li>
Improving the coding standards and processes within the team.</li><li>
Following up the new technologies and looking for the ways to implement them in the projects.</li><li>
Being a mentor in the web frontend development team, by making code reviews, pair programming, giving internal trainings, etc.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications
</b></h3><ul><li>5+ years of web development experience</li><li>
Minimum 3 years of hands-on experience with Next.js</li><li>
Proficiency in modern CMS platforms, such as Kontent.ai or Strapi
</li><li>Strong understanding of SEO principles and familiarity with GEO-specific optimizations</li><li>
Ability to architect and deliver scalable, performant, and user-centric web solutions end-to-end</li></ul><h3 class="jobSectionHeader"><b>
Nice to have</b></h3><ul><li>
Experience with Vue.js and/or Angular.js</li><li>
Experience and understanding of CI/CD principles</li><li>
Experience with mobile applications (react-native, native or hybrid apps)</li><li>
Knowledge of material design frameworks</li><li>
Knowledge of AMPs, Progressive Web Apps, and similar</li><li>
Understanding of RESTful web services</li><li>
Knowledge of relational and non-relational database systems</li><li>
Understanding of distributed caching</li><li>
Understanding of cloud computing and cloud application architectures</li><li>
Experience with software development tools such as Git, Gerrit, Jenkins, JIRA</li><li>
Prior experience with SCRUM/Agile methodologies</li><li>
Contributions to OpenSource projects</li></ul><div>
Why Commencis?</div><div>
</div><div>
We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div><div>
</div><div>
Competitive Compensation &amp; Benefits: We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.</div><div></div><div><br>
Happier Weekdays: We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.</div><div></div><div><br>
Never Stop Learning: We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div><div></div><div><br>
Community &amp; Socials: We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.</div><div></div><div><br>
Open Culture: We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.</div><div></div><div><br>
About Commencis</div><div></div><div><br>
Join us in paving the way for a thriving digital society!</div><div></div><div><br>
Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.</div><div></div><div><br>
We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.</div><div></div><div><br>
If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div><div></div><div><br>
We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.</div><div></div><p><br>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Senior Web Frontend Engineer

Siemens

<div><p>For our Smart Infrastructure Electrical Products Factory in Gebze, we are searching for the Maintenance Planning &amp; Scheduling Engineer.</p><p></p><p>
Reporting to the Maintenance Manager, the Maintenance Planning &amp; Scheduling Engineer is responsible for ensuring the timely and prepared execution of maintenance activities through effective management of the maintenance backlog, work orders, materials and permit readiness, and weekly/daily schedules, thereby improving maintenance productivity and reducing unplanned downtime.</p><p></p><p><b>
What are my responsibilities?</b></p><p></p><ul><li> Develop and maintain weekly and daily maintenance schedules (preventive + corrective) aligned with production priorities and available downtime windows.</li></ul><p></p><ul><li> Own the maintenance backlog: prioritize work orders, track aging, and maintain a healthy ready backlog (scope, materials, tools, permits/LOTO prepared).</li></ul><p></p><ul><li> Ensure work order readiness by confirming job scope, estimated labor hours, required skills, spare parts, permits, and special tools before scheduling.</li></ul><p></p><ul><li> Coordinate with Procurement to secure parts availability, manage kitting, and support critical spare parts planning.</li></ul><p></p><ul><li> Improve CMMS data quality: work order creation standards, failure codes, close-out notes, time booking accuracy, and materials consumption tracking.</li></ul><p></p><ul><li> Create and update standard job plans, task lists, and time estimates to increase planned work and execution efficiency.</li></ul><p></p><ul><li> Track schedule execution and drive schedule compliance; communicate constraints and reschedule proactively when priorities change.</li></ul><p></p><ul><li> Support planning and coordination of overhauls, including work breakdown, resource planning, sequencing, and progress reporting.</li></ul><p></p><ul><li> Coordinate and integrate contractor activities into the schedule (scope, permits, access, safety requirements, and site readiness).</li></ul><p></p><ul><li> Prepare and present weekly KPI dashboards (e.g., PM compliance, planned work %, backlog aging, schedule compliance) and lead follow-up actions with maintenance and production stakeholders.</li></ul><p></p><p><b>
What do I need to qualify for this job?</b></p><p></p><ul><li> BS Degree in Electrical, Mechanical or Mechatronic Engineering, or equivalent experience.</li></ul><p></p><ul><li> 2-5 years of experience in a manufacturing/industrial environment within maintenance planning/scheduling (or maintenance execution with strong planning exposure).</li></ul><p></p><ul><li> Strong hands-on experience with a CMMS (e.g., SAP PM, BEAM or similar): work orders, job plans, PM plans, backlog, history.</li></ul><p></p><ul><li> Good understanding of maintenance processes: PM/CM, backlog management, planning, permits/LOTO readiness, spare parts coordination.</li></ul><p></p><ul><li> Strong Excel skills (Power BI is a plus) for analysis, capacity planning, and KPI reporting.</li></ul><p></p><ul><li> Ability to coordinate across teams (Maintenance, Production, Quality, Engineering, Procurement, EHS) with strong communication and stakeholder management.</li></ul><p></p><ul><li> Solid problem-solving and prioritization skills; able to work in a fast-changing production environment.</li></ul><p></p><p><b>
Nice to have (preferred):</b></p><p></p><ul><li> Experience with TPM / Lean Maintenance / Reliability concepts (RCM, FMECA, RCA).</li></ul><p></p><p><b>
What We Offer?</b></p><div>
<ul><li>Speaking up Culture</li></ul>
<ul><li>Respectful Workplace</li></ul>
<ul><li>Being part of a global work environment</li></ul>
<ul><li>Attractive remuneration package</li></ul>
<ul><li>Excellent recognition tools providing spot awards</li></ul>
<ul><li>Learning &amp; Development opportunities for both personal and professional growth</li></ul>
<ul><li>Leave days for parents and a variety of flexible working models that allow time off for yourself and your family</li></ul>
<ul><li>Creche allowance for mothers</li></ul>
<ul><li>Share matching programs to become a shareholder of Siemens AG</li></ul>
<ul><li>Remote working and remote living flexibility only for relevant positions</li></ul>
<ul><li>Find more benefits here</li></ul></div><p></p><p><i><br>
Individual benefits are adapted to meet local legal regulations, the requirements of different job profiles, locations, and individual preferences.</i></p><p></p><p>
&ldquo;At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
</p><p>As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.</p><p>
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.</p><p>
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.</p><p>
Please find more information from our web site:</p><p>
https://new.siemens.com/tr/tr.html</p><p></p><p><b><br>
#LI-OFFICE</b></p></div>

Maintenance Planning & Scheduling Engineer

<div><h2 class="jobSectionHeader"><b>Role Overview</b></h2>
<p>We are seeking a skilled <b>AI Prompt Engineer</b> to design, optimize, and evaluate prompts for large language models (LLMs) and generative AI systems. This role focuses on improving model performance, ensuring high-quality outputs, and aligning AI behavior with business objectives.</p>
<p>The ideal candidate understands how AI models interpret instructions and can craft structured prompts that generate accurate, relevant, and context-aware responses.</p>
 <h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li><p>Design, test, and optimize prompts for LLMs and generative AI systems</p>
</li><li><p>Develop structured prompt frameworks for various use cases (content generation, reasoning, summarization, code generation, etc.)</p>
</li><li><p>Evaluate AI outputs for accuracy, relevance, tone, and alignment</p>
</li><li><p>Refine prompts to reduce hallucinations and improve reliability</p>
</li><li><p>Collaborate with engineering and product teams to improve AI workflows</p>
</li><li><p>Create documentation and best practices for prompt engineering</p>
</li><li><p>Analyze model behavior and implement iterative improvements</p>
</li></ul><h2 class="jobSectionHeader"><b>Required Qualifications</b></h2>
<ul><li><p>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, Linguistics, or related field</p>
</li><li><p>Strong understanding of Large Language Models (LLMs) and generative AI systems</p>
</li><li><p>Experience working with AI tools such as GPT, Claude, Gemini, or similar</p>
</li><li><p>Strong analytical and problem-solving skills</p>
</li><li><p>Excellent written communication skills</p>
</li><li><p>Ability to experiment and iterate on prompt structures</p>
</li></ul><h2 class="jobSectionHeader"><b>Preferred Qualifications</b></h2>
<ul><li><p>Experience with Python or scripting languages</p>
</li><li><p>Familiarity with NLP concepts</p>
</li><li><p>Experience in AI evaluation or model alignment</p>
</li><li><p>Understanding of prompt chaining and system prompts</p>
</li><li><p>Knowledge of AI safety and bias mitigation</p></li></ul></div>

Ai Prompt Engineer - 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>
<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

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