• Design and build scalable, secure, and cost-effective data solutions in Snowflake • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs) • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks • Contribute to internal accelerators, frameworks, and proofs of concept • Mentor junior engineers and support knowledge sharing across the team

Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Norwegian). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. What You Will Do - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Role Details - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $8 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment You will be contracted by Careerflow on behalf of one of our clients.

Role Description GoVivid Co. is seeking a detail-oriented Data Entry Admin to support our growing digital media and video production operations. This remote position plays a critical role in maintaining accurate records, organizing production data, and ensuring smooth workflow across internal systems. The ideal candidate is highly organized, tech-savvy, and comfortable working in a fast-paced, creative environment. - Accurately input, update, and maintain large volumes of data across internal systems and databases in a remote work environment - Organize and manage digital files related to video production, client projects, and content assets - Review data for errors, inconsistencies, and missing information, ensuring high levels of accuracy - Assist with tracking project timelines, deliverables, and production workflows - Maintain and update spreadsheets, CRM systems, and cloud-based platforms - Support internal teams by preparing reports and organizing operational data - Ensure proper documentation and filing of client and project-related information - Collaborate with cross-functional teams to streamline data handling processes in a remote setting Qualifications - Proven experience in data entry, administrative support, or similar roles - Strong typing skills with a high level of accuracy and attention to detail - Proficiency in Microsoft Excel, Google Sheets, and database systems - Ability to manage multiple tasks and meet deadlines in a remote work environment - Strong organizational and time management skills - Excellent communication skills and ability to work independently Requirements - Experience working with digital media, content production, or creative agencies - Familiarity with CRM tools and cloud storage platforms - Basic understanding of video production workflows is a plus Benefits - Flexible remote work environment - Opportunity to work with a fast-growing creative and video production company - Career growth and skill development opportunities - Collaborative and innovative team culture - Salary: 28 - 35 USD Per hour

Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Data Engineering Expert Type: Contract Compensation: $90–$125/hour Location: Remote Role Responsibilities - Build long-horizon pipeline tasks with deterministic rubrics to grade agent performance against verifiable ground truth. - Develop ETL/ELT pipelines and dbt models to produce specified output tables with incremental logic and defined watermark behavior. - Create Airflow/Dagster DAGs that pass test suites and data quality tests with known pass/fail cases. - Design warehouse schemas matching defined contracts and performance targets tied to measured query-time budgets. - Work independently in long focus sessions to create challenging scenarios for agent evaluation. - Ensure tasks have checkable answers without open-ended essays or subjective judgment calls. Qualifications - Must-Have: BS or MS in CS or related field. - 3+ years in data engineering or analytics engineering. - Expertise in dbt model development, pipeline orchestration (Airflow, Dagster, Prefect), warehouse design (Snowflake, BigQuery, Redshift, Databricks), and data quality and testing. - Comfortable with data engineering artifacts: dbt models, DAGs, schema docs, data contracts, and test suites. - Clear written communication skills to articulate reasoning and encode it into deterministic rubrics. Requirements - Hourly contractor. - Strong contributors are promoted based on task quality and throughput. Application Process - Upload resume. - AI interview based on your resume. - Submit form. For details about the interview process and platform information, please check: Interview Process For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.