Role Description Artlist is looking for a Creative Solutions Lead to help drive strategic partnerships across Hollywood, media, and entertainment. Working closely with leadership, this role will create compelling demonstrations, showcase productions, presentations, and proof-of-concepts that help studios, production companies, and creative partners understand the future of AI-powered filmmaking. Responsibilities - Create high-impact AI product demonstrations and showcase projects. - Support studio partnerships with presentations, custom demos, and strategic materials. - Provide ongoing creative and technical support for strategic studio partnerships, helping transform initial demonstrations into successful long-term collaborations. - Produce short films, concept trailers, commercials, and experimental content. - Translate product capabilities into compelling creative stories and business opportunities. - Represent Artlist at industry events, festivals, screenings, and executive meetings. - Support flagship initiatives and future showcase productions. Qualifications - Strong background in filmmaking, creative technology, content production, or media innovation. - Excellent presentation and public speaking skills. - Comfortable presenting to executives, partners, creators, and large audiences. - Strong storytelling and visual communication abilities. - Experience with AI creative tools and emerging production workflows. - Highly organized, proactive, and able to move quickly from idea to execution. Ideal Candidate A creative technologist and storyteller who can build a compelling demo, present it confidently on stage, and help turn industry conversations into strategic partnerships.

Title: Senior Applied AI Engineer Location: Worldwide (Remote/Hybrid) Reports to: Staff Applied AI Engineer Senior Applied AI Engineer About CINC Systems CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry’s first SaaS offering, CINC Systems now employs nearly 400 people and provides software and applications to more than 50,000 associations servicing over 5 million doors. In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development. At CINC, innovation drives our growth, and our people sustain it. We are proud of our humble, accountable, and team-oriented culture, and we are committed to building products and a workplace that create long term value for our customers and our team. About the Role The Senior Applied AI Engineer is a hands-on software engineer specializing in the practical application of AI within production systems. This role sits at the intersection of software engineering, system design, and applied machine learning, with a focus on building AI-enabled features that are observable, testable, and safe. This is not a research role. It is a product- and systems-oriented role for an engineer who understands that AI is an amplifier of engineering fundamentals and who can balance experimentation with operational discipline. Key Responsibilities - Design, build, and operate AI-enabled features within production SaaS applications - Integrate large language models and other ML capabilities into existing systems with attention to reliability, latency, and cost - Design AI workflows including retrieval, orchestration, evaluation, and fallback strategies - Partner with product and design teams to translate user needs into intelligent system behavior - Collaborate with platform and DevSecOps teams to ensure AI systems are secure, observable, and scalable - Build evaluation strategies to measure quality, regressions, and business impact of AI features - Contribute to system and service design to ensure AI capabilities fit cleanly into overall architecture - Apply strong software engineering practices including testing, code review, and incremental delivery - Mentor other engineers and share best practices for applied AI development - Stay current with evolving AI tools and techniques, applying them pragmatically where they add value Qualifications Technical Expertise - 8+ years of professional software engineering experience - Hands-on experience building and shipping AI-enabled features in production - Strong foundation in system design, APIs, and distributed systems - Experience working with LLMs and other ML models - Familiarity with evaluation, monitoring, and observability of AI workflows - Experience with cloud-native architectures and managed cloud services - Comfort working across backend services, data pipelines, and user-facing systems Collaboration and Judgment - Strong communication skills, able to explain AI trade-offs clearly - Structured thinker with good engineering judgment - Comfortable operating in ambiguity and iterating based on feedback - Ability to work cross-functionally with product, platform, and data teams - Bias toward shipping value safely and incrementally Mindset and Values - Builder mindset with pride in reliable, maintainable software - Believes AI amplifies both good and bad engineering practices - Customer-focused, measuring success through real-world impact - Learning-first attitude and intellectual humility - Calm under pressure and disciplined in execution - Values teamwork and shared ownership What Success Looks Like - AI-enabled features deliver measurable customer and business value - AI systems are reliable, observable, and cost-effective - Engineering teams can safely build on shared AI patterns and infrastructure - AI experimentation leads to production outcomes, not dead ends - The Senior Applied AI Engineer is trusted as a practical expert and partner across teams

Evaluate AI-generated responses for factual accuracy, challenge unsupported conclusions, identify reasoning failures, and provide quality feedback to enhance AI systems' reliability and effectiveness.

Title: AI Fact-Checking & Response Evaluation Reviewer (Spanish) Location: CO Department: Production Job Description: Mission of the Role Apply independent judgment to identify AI blind spots, reasoning failures, factual inaccuracies, contradictory evidence, and quality gaps. Successful reviewers do not simply validate AI-generated conclusions—they critically evaluate them. Your role is to verify evidence, challenge unsupported assumptions, and ensure AI systems learn from accurate, reliable, and well-supported information. Your expertise will help build more reliable, trustworthy, and human-centered AI systems. About the Role At TrustScale, we believe AI improves when people are willing to question it. As an AI Fact-Checking & Response Evaluation Reviewer, you will evaluate AI-generated responses, verify evidence, challenge unsupported conclusions, and help define the standards that AI systems learn from. Good AI is built on good judgment. TrustScale is seeking experienced Spanish -language professionals to evaluate AI-generated responses, verify factual accuracy, assess supporting evidence, and help define the quality standards that AI systems learn from. As an AI Fact-Checking & Response Evaluation Reviewer, you will review AI-generated content, determine whether conclusions are supported by evidence, identify reasoning gaps, challenge unsupported claims, and help improve the reliability of next-generation AI systems. This is not a traditional annotation, translation, or data-entry role. This role requires individuals who are comfortable questioning conclusions, investigating claims, and making evidence-based decisions—even when those decisions differ from AI-generated recommendations. The strongest reviewers are naturally curious, skeptical of unsupported claims, detail-oriented, and confident applying their own judgment when evaluating information. This is a remote freelance opportunity with flexible hours and payment in USD. Remote | Freelance | Flexible Schedule | Paid in USD We are seeking a small group of experienced reviewers to support upcoming AI quality initiatives. Applications are reviewed on a rolling basis. What You'll Do - Review and evaluate AI-generated responses in Spanish - Verify factual claims using reliable online sources and supporting evidence - Assess whether evidence supports, contradicts, or fails to support AI-generated conclusions - Identify AI blind spots, reasoning failures, factual inaccuracies, and quality gaps - Evaluate response quality, relevance, completeness, and alignment with user intent - Detect inconsistencies, unsupported claims, contradictory information, and missing evidence - Apply independent judgment rather than relying solely on automated decisions - Challenge AI-generated conclusions when evidence suggests a different outcome - Provide clear quality feedback and rationale for review decisions - Participate in training, calibration, and quality alignment sessions conducted in English - Maintain quality, consistency, commitment, and productivity expectations while meeting project requirements - Collaborate with project teams to continuously improve reviewer standards and AI quality outcomes What Success Looks Like Successful reviewers: - Verify information before accepting conclusions - Challenge AI-generated decisions when evidence suggests otherwise - Distinguish between supported, unsupported, and contradictory claims - Remain objective when evaluating information - Demonstrate consistency across complex review tasks - Maintain strong productivity while preserving quality standards - Use evidence rather than assumptions to make decisions - Take ownership of quality outcomes - Demonstrate reliability and commitment throughout the project lifecycle Required Qualifications - Native or near-native fluency in Spanish - Strong English proficiency, including the ability to understand guidelines and participate in training sessions - Previous experience in Fact-Checking, Quality Assurance, Content Review, Search Evaluation, Annotation Review, Trust & Safety, Data Quality, Linguistic QA, Research Analysis, or similar analytical roles - Excellent critical-thinking and analytical skills - Strong evidence-based decision-making abilities - Strong attention to detail and consistency - Ability to independently evaluate and challenge AI-generated conclusions - Ability to distinguish between factual support, contradiction, and insufficient evidence - Ability to interpret complex queries and assess response quality accurately - Comfortable working with structured data and AI-related projects - Comfortable working with ambiguity and incomplete information - Ability to pass a qualification assessment in English Preferred Qualifications - Experience reviewing AI training data or annotation projects - Experience with Response Evaluation, Search Quality Rating, RLHF, LLM evaluation, AI model assessment, or human-in-the-loop review workflows - Experience in Fact-Checking, Trust & Safety, Information Verification, or Online Research - Background in journalism, research, education, editorial review, investigation, or content quality assessment - Experience providing quality feedback, coaching, or calibration support to reviewer teams - Experience working with time-sensitive content such as news, public information, sports, finance, or search-related content Why Join TrustScale - 100% remote and flexible work environment - Paid in USD - Work on cutting-edge AI and language technologies - Collaborate with a global network of AI quality professionals - Long-term opportunities for high-performing contributors - Potential growth into advanced AI Quality, Fact-Checking, and QC Specialist roles - Help shape how AI systems evaluate information and make decisions - Contribute directly to the development of safer, more reliable, and more trustworthy AI systems Qualification Process Due to the specialized nature of AI quality work, selected candidates will complete a qualification process before onboarding. This process may include guideline reviews, platform training, UI navigation exercises, knowledge assessments, fact-checking exercises, and project simulation tasks designed to evaluate quality, accuracy, consistency, critical thinking, decision-making skills, and overall readiness for project work. All qualification activities are unpaid and form part of the candidate evaluation process. Successful completion does not guarantee project placement, as final selection is based on assessment performance, demonstrated commitment, consistency of quality, project requirements, and available capacity. TrustScale seeks contributors who consistently deliver high-quality work, actively engage with project requirements, demonstrate reliability, and maintain strong reviewer judgment throughout the project lifecycle. About TrustScale TrustScale, an e2f company, empowers organizations to scale AI initiatives with confidence. We deliver high-quality data, evaluation, and AI solutions that help leading technology companies build more accurate, reliable, and trustworthy AI systems. At TrustScale, we believe that human judgment remains essential to building trustworthy AI. As an AI Fact-Checking & Response Evaluation Reviewer, your evaluations help determine whether AI-generated conclusions are supported by evidence, grounded in facts, and aligned with user needs. Your expertise helps define what good looks like—and your judgment becomes part of the foundation from which AI learns.