This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking game enthusiasts to help train and evaluate the next generation of Artificial Intelligence. In this role, you will review AI-generated responses to prompts about gaming and rate them for factual accuracy, nuance, tone, and completeness. Your expertise will directly shape how AI understands and discusses gaming with users worldwide. If you love exploring games and enjoy explaining your insights clearly, this role is for you. Role Responsibilities - Evaluate AI-generated text, articles, or data related to Games. - Verify information, statistics, and terminology against reliable sources. - Ensure AI responses match the context, whether it’s the excitement of a fan or the depth of an expert. - Write clear, concise explanations on why an AI response is accurate, flawed, or contains “hallucinations” (made-up information). Qualifications - Avid gamer with hundreds of hours across multiple genres (RPG, FPS, MOBA, etc.). - Up-to-date with current gaming culture, major releases, and streaming trends. - Familiar with basic gaming terminology and jargon. - Strong written communication skills. - Analytical mindset and attention to detail. - Passion for sharing knowledge clearly and accurately. Requirements - Experience in content creation (blogs, vlogs, reviews, or guides) related to Games. - Familiarity with Large Language Models (LLMs) like ChatGPT, Gemini, or Claude. - Experience in social media, streaming, or community engagement in relevant topics. Company Description DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains. To learn more about DataForce please visit us at https://www.transperfect.com/dataforce .

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role provides the opportunity to lead the design and implementation of enterprise-scale AI solutions across multiple products and teams. The Senior AI Solutions Engineer will define technical roadmaps, establish reusable AI architectures, and ensure systems scale reliably while maintaining robustness and observability. You will partner with senior stakeholders to align AI initiatives with business priorities, while providing hands-on guidance to unblock engineering teams and oversee critical implementations. This position combines strategic influence with technical execution, enabling innovation in AI-powered marketing, discovery, and internal tools. The environment is collaborative, fast-paced, and driven by a culture of mentorship, knowledge sharing, and continuous improvement. You will have the chance to shape AI capabilities that impact multiple products, processes, and long-term organizational success. - Design, implement, and deliver AI-powered systems and architectures aligned with long-term business roadmaps. - Develop and evolve reusable LLM-based application patterns (e.g., RAG pipelines, embeddings, and evaluation strategies) for multi-team adoption. - Ensure AI solutions are robust, observable, cost-efficient, and adaptable to evolving business needs and technologies. - Lead full-stack development efforts across APIs, automation pipelines, cloud infrastructure, internal tools, and front-end applications. - Establish engineering standards and shared platforms to promote safe and effective AI adoption across teams. - Collaborate with Product, Marketing, and senior leadership to assess feasibility, align on strategy, and communicate technical progress. - Mentor engineers and data scientists, providing architectural guidance and promoting best practices throughout the organization. Qualifications - 8–12+ years of experience in software engineering, machine learning engineering, or full-stack development with progression into technical leadership. - Proven track record of designing and delivering production systems used by multiple teams or products over extended timeframes. - Expert proficiency in Python and experience designing APIs, automation frameworks, and backend services. - Hands-on experience with LLMs, embeddings, vector databases, and RAG pipelines. - Experience building internal platforms or tools using modern front-end frameworks (e.g., React, Next.js). - Strong architectural judgment balancing speed, reliability, maintainability, and cost. - Ability to lead without direct authority, influence roadmap decisions, and work effectively in ambiguous problem spaces. - Excellent written and verbal communication, collaboration, and mentorship skills. - Preferred: experience with search, discovery, metadata systems, or relevance optimization; consumer-facing AI platforms; experimentation frameworks; Master’s or higher in Computer Science, Data Science, or related field. Benefits - Competitive salary range: $160,000 – $210,000, with eligibility for annual profit awards or bonuses. - Comprehensive medical, dental, and vision insurance. - Short- and long-term disability insurance, life/AD&D coverage. - 401(k) with pre-tax and Roth options. - Employee Stock Purchase Program. - Commuter benefits and flexible spending accounts. - Student loan repayment and educational assistance programs. - Generous paid time off and company holidays. - Hybrid work flexibility with strong support for remote candidates. Company Description

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.