Remote Data Annotator - Science

Location

United States (Remote)

Pay

25.00 USD Per Hour

Schedule

Flexible: 10-40 hours per week

DESCRIPTION

A well-known AI firm is seeking individuals to lead innovative data development methods—those with a Science background and proficiency in Physics, Chemistry, or Biology as AI Data Annotators are encouraged to apply.

This involves labeling objects in images, annotating text, or creating/assessing multiple-choice questions to assist AI models relying on well-labeled data for precision.

We are looking for individuals who can pay close attention to detail while working on tasks that last between 10 and 40 minutes.

RESPONSIBILITIES

• Accurately annotate multimodal data by properly labeling and tagging images and text according to given instructions.
• Generate multiple-choice questions that are precise and of excellent quality for educational or artificial intelligence training objectives.
• Data processing involves managing large amounts of data, completing tasks within project timelines, and paying close attention to detail.
• Quality control: Double-check and validate your notes to guarantee uniformity and accuracy among datasets.

REQUIREMENTS

• Bachelor’s Degree or above in a field related to one of the listed areas is required in Physics, Chemistry or Biology
• Attention to detail is important: Precision is essential because inaccurate labeling can affect the functioning of machine learning models.
• Proficient in English: Exceptional written and oral communication abilities, particularly in creating content and providing annotations for text data.
• Self-drive: Skill to independently work and efficiently handle time in a virtual work setting.
• Data literacy is preferred to have experience or familiarity with managing and processing different kinds of data.
• Technical proficiency: Being familiar with fundamental software tools, spreadsheets, or annotation platforms can be advantageous.

This role will be remote and is available for U.S.-based candidates who can ideally work between 10 and 40 hours per week.