Top Remote Entry Level Jobs

Provide remote executive support including calendar and travel management, call/email screening, briefing prep, vendor and project deadline tracking, document preparation, CRM data entry, and ad hoc administrative tasks.

Create prompts and evaluate responses from ChatGPT and Claude to support AI model training. Record screen and audio while comparing outputs, provide structured verbal and written feedback, interpret documentation, and follow project guidelines. The role requires fluent American English, strong critical thinking, attention to detail, analytical reasoning, and a reliable recording setup. Prior AI experience is not required, though experience with language models, evaluation, annotation, quality assurance, or research is advantageous.

Annotate and evaluate datasets to train and validate AI systems. The Generalist reviews model outputs, provides clear written feedback, solves cross-domain problems, follows project guidelines, and supports quality assurance. Strong critical thinking, communication, attention to detail, and independent remote collaboration are required. Prior AI or annotation experience is not necessary, though labeling experience is preferred.

Reviews and analyzes large business datasets for accuracy, completeness, relevance, privacy, and quality. Conducts document reviews involving PII, identifies data issues and anomalies, provides feedback to support AI training, refines quality assurance standards, and communicates findings to project stakeholders while maintaining data privacy and security compliance.

Gère le cycle complet de recrutement, de la recherche proactive de candidats à l’intégration des nouveaux employés. Identifie les meilleurs profils sur le marché et contribue à la croissance de l’entreprise grâce à d’excellentes compétences interpersonnelles et à une approche dynamique.

Manage the full recruitment cycle, from proactive candidate sourcing through onboarding. The role focuses on identifying top talent, building strong candidate relationships, and supporting organizational growth through effective hiring.

Review and annotate Chinese text and images to train AI: draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines. Remote, long-term contract (minimum 6 months), 30–40 hours/week, paid hourly with a short language assessment required.

Create 1–5 minute walk-and-talk videos of public city locations, speak naturally on camera, record steady footage with clear audio, submit videos with accurate location details, follow creative guidelines, respect privacy and safety, and meet weekly time commitments.

Own customer-facing security assurance, including questionnaires, diligence requests, security reviews, and trust materials. Manage SOC 2 and ISO 27001 compliance programs, audits, evidence collection, control monitoring, risk registers, vendor reviews, and remediation plans. Automate GRC workflows and partner with Product, Engineering, Legal, Sales, and Customer Success to translate security and regulatory requirements into practical controls. Define program metrics and support secure product design and roadmap decisions.

Drive UI/UX and product design for a portfolio company, helping shape its direction and support growth. The role offers an opportunity to make a significant impact while advancing professionally within a technology-focused venture capital portfolio.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Supports the design, development, testing, debugging, maintenance, and enhancement of digital products, including web and mobile applications and device firmware. Participates in agile sprints, technical documentation, change management, product releases, and routine issue resolution. Collaborates with team members to deliver solutions aligned with product specifications and technical architecture standards.

Define and lead enterprise-wide AI/ML architecture strategy, standards, governance, reference architectures, and adoption roadmaps. Design scalable architectures for generative AI, LLM applications, RAG, AI agents, MLOps, data platforms, cloud infrastructure, security, and enterprise applications. Lead technology evaluations, architecture reviews, modernization strategies, responsible AI controls, vendor decisions, and transformation programs while advising executives and technical teams.

Designs and leads enterprise data architecture, including warehouses, lakes, lakehouses, data models, integration pipelines, governance, security, and analytics platforms. Partners with engineering, analytics, application, and business teams to create scalable cloud data ecosystems. Responsibilities include technology evaluation, migration and modernization strategy, architecture reviews, documentation, data quality, lineage, metadata, and technical mentorship.

Own hardware manufacturing readiness and production health at contract manufacturers and ODMs. Lead assembly and test process improvements, yield and quality targets, product transitions to mass production, engineering changes, component qualification, multi-sourcing, and root-cause investigations for manufacturing and field failures. Develop test plans, assess coverage, coordinate corrective actions, and communicate decisions to factory partners, operations teams, and leadership. Travel to partner factories in the US and abroad may reach 50%.