This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Are you eager to shape the future of AI? Large-scale language models are transforming the way we learn, work, and communicate—moving beyond simple tasks into tools that can support education, research, and professional practice across industries. With high-quality training data, tomorrow’s AI can become smarter, more reliable, and more useful for people everywhere. That training data begins with you. We’re looking for motivated individuals who are eager to contribute to the development of cutting-edge AI systems. You’ll work hands-on with advanced AI tools, test model outputs, evaluate responses for accuracy and clarity, and provide structured feedback to strengthen model performance. On a typical day, you will: - Engage with AI across a wide range of topics - Review its responses for quality - Document errors or gaps - Collaborate with our team to refine prompts, tasks, and evaluation methods Your ability to think critically, spot inconsistencies, and communicate feedback clearly will directly influence how well the model learns. Early-career professionals and recent graduates preferred. No prior AI or technical experience is necessary—just curiosity, strong communication skills, and a detail-oriented mindset. Experience in research, writing, tutoring, or problem-solving will be considered a plus. Ready to launch your career in AI by helping train the systems that will shape the future? Apply today and start turning your skills into impact. Qualifications - Curiosity and strong communication skills - Detail-oriented mindset - Experience in research, writing, tutoring, or problem-solving (considered a plus) - Early-career professionals and recent graduates preferred Requirements - No prior AI or technical experience necessary - Ability to think critically and spot inconsistencies - Ability to communicate feedback clearly Benefits - Pay range of $18 per hour - Exact rate determined after evaluating experience and geographic location - Final offer amounts may vary from the pay range listed - As a contractor, you’ll supply a secure computer and reliable internet connection - Company-sponsored benefits such as health insurance and PTO do not apply Company Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description You will make Grok extraordinarily adept at reading emotional subtext, social context, and user intent, then responding with perfect calibration. Responsibilities - Detect and interpret implied emotional states, attachment styles, and unspoken needs. - Teach models appropriate mirroring, boundary-setting, defusing, challenging, or comforting. - Detect and correct emotionally tone-deaf responses in AI-generated outputs. - Build datasets exposing dark-pattern social tactics (concern-trolling, gaslighting, etc.) so Grok remains immune. - Ensure cross-cultural sensitivity without performative overcorrection. Qualifications - Direct clinical experience with diverse populations (trauma, PTSD, personality disorders, neurodivergence, etc.). - Expertise in attachment theory, polyvagal theory, mentalization, or equivalent frameworks. - Demonstrated ability to read subtext and calibrate responses in high-stakes therapeutic or educational settings. - Familiarity with DSM-5 diagnostics and evidence-based interventions (CBT, DBT, trauma-focused modalities). - Strong ethical grounding and understanding of scope-of-practice boundaries. Preferred Qualifications - Active or past clinical licensure. - Experience supervising clinicians or teaching at the postgraduate level. - Published research or clinical writing on trauma, emotional regulation, or social cognition. - Public policy or advocacy experience around mental health. Location & Other Expectations - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. - Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. - For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation - US based candidates: $45/hour - $70/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. - International candidates: Information will be provided to you during the recruitment process. Benefits - Benefits vary based on employment type, location and jurisdiction. - Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. - Specific details and role specific information will be provided to you during the interview process.

• Join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. • Develop applications on Google Cloud. • Work with customers to understand their requirements. • Suggest new ideas and features to the team. • Improve the product and implement new functionalities with a passion for quality. • Implement best practices and state-of-the-art techniques for AI and LLMs. • Work on research, experimentation, and implementation of novel methods.

• Drive Applied Research: Lead the design, training, and evaluation of large language models to solve healthcare-specific challenges, advancing the state of the art in clinical Natural Language Understanding. • Leverage Human-in-the-Loop Feedback: Work closely with cross-functional teams to integrate Human-in-the-Loop data, using it to guide model improvements and explore new methods for optimizing performance. • Collaborate Across Teams: Partner with healthcare experts and other stakeholders to integrate qualitative insights, ensuring models align with real-world needs and deliver meaningful results. • Stay on the Cutting Edge: Regularly evaluate advancements in ML to determine their relevance to our work, maintaining AKASA’s leading edge in responsible, high-impact healthcare AI. • Contribute to Broader Impact: Publish and share research findings in the broader AI community, helping to advance healthcare applications of AI through peer-reviewed publications.