Data Entry/ Content Writer

Collabera - Boston, MA

Full-time

Boston, MA

Professional, Scientific, and Technical Services

About the position

The Data Entry/Content Writer position involves a multifaceted role that focuses on both the quality assurance of training data and the creation of original content for Large Language Models (LLMs). The primary responsibilities include reviewing machine-generated and human-written content samples to ensure high-quality standards are met. This requires a keen analytical eye and a high degree of judgment to assess content quality effectively. The role also entails providing constructive feedback aimed at improving the training data used for LLMs, which is crucial for enhancing the performance of these models. Collaboration with support teams is essential to maintain top-notch data quality, and the candidate will assist in developing and refining content quality guidelines to ensure consistency across all outputs. In addition to quality assurance, the position requires the crafting of original and engaging content tailored for various LLM training purposes. The candidate will be responsible for writing clear, concise, and grammatically correct content that adheres to established Standard Operating Procedures (SOPs) and style guides. Proofreading and editing are also key components of the role, ensuring that all content is accurate, consistent, and visually appealing. Researching topics to verify the factual correctness of generated content is a critical task, as is the responsibility of approving or rejecting content based on established guidelines, accompanied by clear explanations for such decisions. The role also emphasizes process improvement and collaboration. The candidate will be expected to identify operational challenges and proactively report them, continuously seeking opportunities to streamline processes and identify pain points. Participation in small-scale process improvement initiatives is encouraged, as is collaboration with cross-functional teams to maintain and enhance content quality. Working with Subject Matter Experts (SMEs) to understand processes and validate information for accurate content creation is also a vital aspect of the job. Additionally, the candidate may participate in training programs and contribute to project or program management as needed, ensuring a well-rounded approach to the responsibilities of the position.

Responsibilities

• Review machine-generated and human-written content samples.
• Analyze content quality using a high degree of judgment.
• Provide feedback to improve training data for Large Language Models (LLMs).
• Collaborate with support teams to ensure top-notch data quality.
• Assist in developing and refining content quality guidelines.
• Participate in team calibrations to maintain consistent evaluation standards.
• Craft original and engaging content for various LLM training purposes.
• Write clear, concise, and grammatically correct content following SOPs and style guides.
• Proofread and edit content for accuracy, consistency, and visual appeal.
• Research topics to ensure factual correctness of generated content.
• Approve or reject content based on established guidelines and provide clear explanations.
• Identify operational challenges and proactively report them.
• Continuously seek opportunities to streamline processes and identify pain points.
• Contribute to small-scale process improvement initiatives.
• Collaborate with cross-functional teams to maintain and enhance content quality.
• Work with SMEs to understand processes and validate information for accurate content creation.
• Participate in training programs and contribute to project/program management as needed.

Requirements

• Strong analytical skills to assess content quality.
• Excellent writing and editing skills with attention to detail.
• Ability to follow SOPs and style guides meticulously.
• Research skills to ensure factual correctness of content.
• Strong communication skills for providing feedback and collaborating with teams.
• Experience in content creation for training purposes is a plus.

Nice-to-haves

• Familiarity with Large Language Models (LLMs).
• Experience in quality assurance or content review processes.
• Knowledge of AI tools and their applications in content generation.