Title: Training Video Scriptwriter - Hybrid Location: Sao Paulo, Brazil Hybrid Job Description: JobID: 2600267 Category: Technical and Professional JobSchedule: Full time JobShift: Role Purpose The Training Video Scriptwriter plays a critical role in the design and delivery of engaging, effective audiovisual learning experiences. This role is responsible for translating technical and behavioral content into clear, compelling scripts that support learning objectives, enhance knowledge retention, and engage diverse audiences across multiple training formats. Working closely with instructional designers, subject matter experts, content developers, and audiovisual production teams, the Scriptwriter ensures that training content is educationally sound, creatively strong, culturally appropriate, and aligned with company standards. Working Scheme: hybrid - (São Paulo/Brazil) Key Accountabilities Content Development & Educational Effectiveness - Develop clear, concise, and engaging scripts for educational and training videos, aligned with defined learning objectives and corporate guidelines. - Translate complex technical and behavioral topics into accessible, audience-appropriate narratives. - Apply storytelling techniques and narrative structures to improve learner engagement and information retention. - Incorporate educational methodologies such as learning pills, microlearning, nanolearning, and other short-format learning approaches. Research & Needs Analysis - Research, analyze, and synthesize technical and educational information provided by subject matter experts and clients. - Identify training needs, audience profiles, and learning goals to ensure scripts meet instructional requirements. Collaboration & Production Alignment - Collaborate closely with instructional designers, content developers, videographers, and video editors to ensure scripts are feasible and effective. - Participate in planning sessions, creative workshops, and brainstorming meetings. Quality, Inclusion & Continuous Improvement - Revise and refine scripts based on feedback from reviewers and stakeholders. - Ensure all scripts comply with company guidelines, as well as inclusion, accessibility, and non-ableist communication standards. - Guarantee that all content is culturally sensitive and appropriate for the target audience. Candidate Profile Experience & Education - Bachelor's degree in Communication, Journalism, Literature, Advertising, Film, Audiovisual Studies, or related fields. - Previous experience writing scripts for educational or training videos. Skills & Technical Knowledge - Excellent writing and communication skills, with the ability to simplify complex information into engaging narratives. - Strong command of grammar, structure, and written communication. - Solid understanding of storytelling techniques and narrative frameworks. - Knowledge of educational methodologies is desirable. - Familiarity with technical training video scripting is a plus. Mindset & Behaviors - Highly organized, with the ability to manage multiple projects simultaneously. - Comfortable working under pressure and meeting tight deadlines. - Creative, innovative, and quality-driven. - Strong attention to detail and commitment to excellence.

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 original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). 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. Compensation On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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 original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). 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. Compensation On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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 original computational chemistry problems that simulate real chemistry research workflows; - Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); - Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); - Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; - Base problems on real research challenges or practical applications from chemistry practice; - Verify solutions using Python with standard computational chemistry approaches; - Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:   - Degree in Chemistry or related fields; - Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; - 2+ years of professional experience: applied, research, or teaching experience is applicable; - Experience with numerical methods in chemistry; - Familiarity with computational chemistry concepts and methods; - Strong written English (C1+). 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. Compensation On this project, contributors can earn up to $14 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.