Who we are Section is the smartest, fastest, most cost-efficient partner for organizations to build AI-powered workforces. We help companies achieve 75%+ AI adoption and millions in ROI through our comprehensive product suite including ProfAI (AI-powered coaching), AI Academy (live and on-demand training), and advisory services for workforce transformation. We're backed by leading investors and serve Fortune 100 companies including Unilever, IBM, Nike, Adobe and Autodesk. Partner with us in shaping the future of work through AI education and transformation. Section is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status. All hiring decisions are decided on the basis of qualifications, merit, and business need. We encourage candidates of underrepresented backgrounds to apply. Job Description We are seeking a talented Data Engineer to support our lean, high-impact Data team. You’ll work closely with our Head of Data as the primary hands-on data engineer for this engagement, responsible for building and maintaining our modern data infrastructure. This is an opportunity to own the technical foundation of our data platform, working with a best-in-class tool stack while collaborating closely with leadership and cross-functional stakeholders to enable data-driven decision making across the organization. You'll have significant autonomy and the chance to shape much of our data architecture from the ground up. This is a contract engagement (~40 hrs/week) for 6 months with possibility of extension. What you’ll do: - Design, build, and maintain scalable data pipelines using our modern data stack (Fivetran, Stitch, Rudderstack, Snowflake, dbt Cloud, Hightouch, n8n) - Develop and optimize data models in dbt to support analytics, reporting, and data science initiatives - Implement data quality checks and monitoring to ensure reliability and accuracy across our data warehouse - Collaborate with the Head of Data to define technical architecture and best practices for data engineering - Build and maintain reverse ETL workflows to operationalize data across business systems - Write Python and JavaScript scripts when needed to solve custom data integration or transformation challenges - Partner with business stakeholders to understand data requirements and translate them into technical solutions - Document data pipelines, transformations, and infrastructure to enable team scalability - Ensure compliance with data governance and security policies - Design data infrastructure to support AI-powered use cases, including internal knowledge bases and AI-driven insights - Partner with platform and product engineering to support application analytics, API integrations, and AI model performance monitoring Who you are: - 4+ years of experience in data engineering, analytics engineering, or related technical role - Strong proficiency with SQL and experience building complex data transformations - Hands-on experience with modern data stack tools (dbt, Snowflake, Rudderstack, Fivetran, or similar ELT platforms) - Ability to write clean, maintainable code for data engineering tasks in languages like Python - Experience with data orchestration, pipeline monitoring, and troubleshooting data quality issues - Strong understanding of data warehouse design principles and dimensional modeling - Excellent communication skills and ability to work independently with minimal guidance - Comfortable working in a fast-paced environment as the primary hands-on data engineer for this engagement Compensation Hourly Rate: $72.00-$79.00/hour (depending on experience) Employment Type: Contract, Full-Time (~40hrs/week) Duration: 6 Months with possibility of extension

Language Annotation Expert - Sinhala About Us Rime AI is building next-generation voice technology to make human–computer interactions more natural, accurate, and expressive. Our platform powers high-quality speech experiences across industries, and we’re looking for passionate language experts to help us improve the way our AI understands and speaks the world’s languages. Role Overview We are seeking Language Annotation Experts for Sinhala. In this role, you’ll contribute to the development of advanced Voice AI models by providing linguistic expertise, creating and refining annotation conventions, and supporting high-quality data collection efforts. Key Responsibilities - Develop and apply annotation guidelines tailored to your language of expertise - Label and annotate speech, text, and phonetic data with accuracy and consistency - Provide linguistic insights into pronunciation, prosody, and grammar usage - Support data collection processes, ensuring high-quality and culturally relevant datasets - Collaborate with the product and research teams to refine voice models - Perform quality checks on annotated data to ensure consistency and correctness Qualifications - Native Sinhala speaker - English language proficiency - Strong background in linguistics, phonetics, computational linguistics, or related field - Experience with data annotation, transcription, or linguistic QA - Familiarity with annotation tools and workflows is a plus - Attention to detail and ability to follow complex guidelines - Comfortable working independently in a remote, collaborative environment Nice to Have - Prior experience contributing to speech/voice technology projects - Understanding of NLP, ASR, or TTS systems - Multilingual proficiency What We Offer - Remote, flexible work - Opportunity to directly influence the future of Voice AI - Work with a diverse, mission-driven team passionate about language and technology - Note: this is a part time contract position with the possibility to grow into a full-time role.

Language Annotation Expert - Bahasa Indonesia About Us Rime AI is building next-generation voice technology to make human–computer interactions more natural, accurate, and expressive. Our platform powers high-quality speech experiences across industries, and we’re looking for passionate language experts to help us improve the way our AI understands and speaks the world’s languages. Role Overview We are seeking Language Annotation Experts for Bahasa Indonesia. In this role, you’ll contribute to the development of advanced Voice AI models by providing linguistic expertise, creating and refining annotation conventions, and supporting high-quality data collection efforts. Key Responsibilities - Develop and apply annotation guidelines tailored to your language of expertise - Label and annotate speech, text, and phonetic data with accuracy and consistency - Provide linguistic insights into pronunciation, prosody, and grammar usage - Support data collection processes, ensuring high-quality and culturally relevant datasets - Collaborate with the product and research teams to refine voice models - Perform quality checks on annotated data to ensure consistency and correctness Qualifications - Native Bahasa Indonesia speaker - English language proficiency - Strong background in linguistics, phonetics, computational linguistics, or related field - Experience with data annotation, transcription, or linguistic QA - Familiarity with annotation tools and workflows is a plus - Attention to detail and ability to follow complex guidelines - Comfortable working independently in a remote, collaborative environment Nice to Have - Prior experience contributing to speech/voice technology projects - Understanding of NLP, ASR, or TTS systems - Multilingual proficiency What We Offer - Remote, flexible work - Opportunity to directly influence the future of Voice AI - Work with a diverse, mission-driven team passionate about language and technology - Note: this is a part time contract position with the possibility to grow into a full-time role.

• Assess and inventory existing legacy data in application data stores, shared folders and shared drives. • Assess the quality, completeness, and relevance of data to be migrated. • Identify and document data dependencies, redundancies, and inconsistencies. • Collaborate with stakeholders to understand data structures, relationships, and required formats for successful migration. • Develop a comprehensive data migration plan that outlines steps, timelines, and resource requirements for the migration process. • Identify potential challenges and propose solutions to mitigate risks associated with data migration. • Interpret legacy APIs and other system integrations, and define mapping between systems. • Plan for thorough testing of the migrated data to ensure accuracy, completeness, and successful integration. • Recommend validation reports and the process to document any discrepancies and work closely with stakeholders to resolve issues. • Collaborate with software engineers, database administrators, and development teams to ensure compatibility and alignment with the overall architecture. • Maintain effective communication with project stakeholders to provide updates on migration planning progress and gather feedback. • Create and maintain technical documentation related to planned data migration processes, procedures, and system configurations. • Specify reports on migration progress, data quality metrics, and issue resolution.