Data Quality Analyst (Wave 1)

Their day to day includes accurately labeling machine learning textual data to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines. This person must be able to read, write and summarize at a high volume and high accuracy. The Pre-screening tests typing speed (45-60wpm), reading comprehension and pattern recognition. Finding those who are sharp and can navigate ambiguous technical jargon would be a great fit for the role.

Day to Day Responsibilities

Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines.

Collaborate with team members to identify improvements to the labelling interface or labelling processes in order to drive efficiency and high-quality.

Complete assignments by deadlines while meeting team expectations and goals.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Bachelor’s Degree. Open major, provided the academic background demonstrates high-level critical thinking, synthesis, and reading comprehension (e.g., Translation, Law, Psychology, Marketing, or Humanities).

C1 (Advanced) or C2 (Mastery) English fluency.

3-4 months of data annotation or LLM evaluation experience (Textual data annotation preferred)

Proficiency in reading comprehension and possessive of strong writing skills, with the ability to understand and interpret complex and diverse texts.

Ability to work independently, follow instructions, manage time effectively, and meet deadlines in a dynamic and fast-paced environment.

Ability to manage ambiguity, uncertainty, and changing priorities with limited resources.

Ability to accept and integrate continuous feedback while remaining professional.

Excellent verbal and written communication skills and the ability to collaborate within a multi-disciplinary team.

Quick learner and self-starter with strong problem-solving skills. Plusses:

Experience w RLHF (Reinforcement Learning Human Feedback)

Multiple Language proficiency

Experience with multi modal data annotation (Text, Image, Video)

QA or QC experience