English Generalist

Job Title: English Generalist

Job Type: Contract

Location: Remote

Job Summary:

Join our customer's team as an English Generalist and play a pivotal role in pioneering the next generation of AI-driven language technologies. Leverage your deep expertise in English language, writing, and linguistics to train and refine advanced AI models. If you are passionate about the nuances of language and eager to impact the evolving landscape of artificial intelligence, we invite you to bring your expertise to this forward-thinking project.

Key Responsibilities:

1. Evaluate, edit, and enhance AI-generated English content for grammar, syntax, clarity, and style.
2. Conduct in-depth research to ensure the accuracy and reliability of information used for AI training.
3. Apply AP Style, copyediting, and proofreading best practices to a diverse array of texts.
4. Develop and refine writing prompts, tone guidelines, and stylistic parameters for language models.
5. Analyze and annotate text data to improve AI language comprehension and generation capabilities.
6. Collaborate with cross-functional teams to identify improvement areas and ensure linguistic quality.
7. Provide feedback to continuously optimize AI model outputs and training processes.

Required Skills and Qualifications:

1. Advanced proficiency in English, with a keen eye for grammar, syntax, and language structure.
2. Minimum of 3 years of professional experience in copyediting, proofreading, or linguistics roles.
3. Demonstrated expertise in reading comprehension and adapting to various writing styles and tones.
4. Proficient in AP Style and other recognized editorial standards.
5. Strong research skills, with the ability to synthesize and communicate complex information.
6. Experience working with or training language models is highly desirable.
7. Exceptional written and verbal communication skills, with an emphasis on clarity and empathy.

Preferred Qualifications:

1. Background in linguistics, computational linguistics, or related language-focused fields.
2. Exposure to AI training environments or similar data annotation projects.
3. Agility in adapting to new technologies and evolving project requirements.