Remote Data Jobs · Classification

Job listings

  • Perform various data annotation tasks including classifications and sentiment analysis.
  • Work on a flexible pay-per-task basis with continuous opportunities.
  • Must have resided in Djibouti for 3 to 5 years and have a Windows Live ID.

Appen provides data collection and annotation services for AI training. Their culture emphasizes flexible, pay-per-task opportunities for independent contractors.

  • Perform data annotation and classification tasks for AI training.
  • Complete tasks like sentiment analysis and categorization.
  • Work on a pay-per-task basis with flexible hours.

Appen is a leading provider of high-quality data for machine learning and artificial intelligence. They offer flexible, gig-based opportunities with a large community of contributors worldwide.

  • Work on a variety of tasks including annotations, classifications, and sentiment analysis for AI training.
  • Earn on a transparent pay-per-task basis with a high volume of available tasks.
  • Requires a Windows Live ID and 3 to 5 years of residence in the Democratic Republic of the Congo.

Appen connects individuals with flexible pay-by-task opportunities to contribute to AI and machine learning projects. They operate with a large, global network of independent contractors, emphasizing transparency and earning potential.

$151,000–$206,000/yr
US Canada Unlimited PTO

  • Build and improve machine learning models and data-driven systems that classify, cluster, label, and enrich Internet-observed assets and services.
  • Own the design and development of applied ML workflows that turn raw Internet telemetry into usable context for internal systems and customer-facing products.
  • Partner with engineering, research, security, and product teams to ensure we’re building the right models, datasets, and feedback loops.

Censys provides real-time Internet intelligence and actionable threat insights by mapping the Internet through IP scanning and web crawling. Founded by security researchers, it is a startup with midwestern roots that values diversity and inclusion.