Independent Contractor - Data Entry & Content Review Specialist

Who We Are

At Cloud Factory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.

At Cloud Factory, we are a mission-driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real-world business value at scale.

More than just a workplace, we're a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

At Cloud Factory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission-Driven:
  We focus on creating economic and social impact
• People-Centric:
  We care deeply about our team's growth, well-being, and sense of belonging
• Innovative:
  We embrace change and find better ways to do things, together
• Globally Connected:
  We foster collaboration between diverse cultures and perspectives

If you're ready to earn, learn, serve, and be part of a vibrant global community, Cloud Factory is your place!

Location: USA Remote

Engagement Type: 1099 Independent Contractor

Project Duration: Fixed-Term (Estimated Feb 1, 2026 - Oct 1, 2026)

We are seeking detail-oriented Independent Contractors to support a high-impact project at the intersection of biomedical data and AI model evaluation. In this role, you will be responsible for ensuring that large volumes of scholarly information are accurate, correctly structured, and reliable. Your expertise will directly support the quality and trustworthiness of advanced technology and global research databases used in real-world applications.

As an Independent Contractor, you will manage your own workflow to provide the following high-quality deliverables:

• Metadata Validation:
  Review biomedical journal articles and validate structured metadata within specialized data management systems
• Funding & Grant Identification:
  Independently analyze English-language articles to identify and record research funding acknowledgments, including government and private grant identifiers
• Technical Linking:
  Identify and link related citations such as errata, retractions, and dataset DOIs (e.g., Gen Bank, Dryad, Figshare) to ensure data integrity
• Classification:
  Apply correct status indicators to citations, filtering non-citable items and ensuring compliance with established data standards
• Output Milestones:
  Manage your time and processes to meet a project throughput target of approximately 35 citations per hour while maintaining a high accuracy rate

Due to the nature of the data systems involved, the following security and credentialing steps are mandatory for all contractors:

• Tier 1 Federal Background Check:
  Retention is contingent on passing a Tier 1 federal background check for non-sensitive, low-risk data. This requires no felony convictions or pending legal proceedings
• Fingerprinting:
  The process takes approximately 30 days and includes mandatory in-person fingerprinting at an approved local office. The cost of this background check is covered
• In-Person Credentialing:
  Once the background check is approved (expected between Jan 25 and Feb 15, 2026), you will be required to travel in person to Bethesda, Maryland to collect an official work badge from a federal facility. This is a mandatory step for system access; travel requirements should be considered before applying

• Expertise:
  High school diploma required (Bachelor's degree in Life Sciences, Library Science, or related fields preferred). Previous experience in data entry, metadata review, or…