REMOTE Data Quality Analyst I

Lensa; Palo Alto (CA); Remote; USD 70,000 - 140,000; Full time

Job summary

A leading technology company is seeking a Data Quality Analyst who will focus on annotating and labeling machine learning data to enhance AI models. The role demands a strong proficiency in reading comprehension and writing, along with a capacity to thrive in a fast-paced environment. By joining the team, you will contribute to improving data accuracy and driving efficiency in AI development efforts.

Qualifications

• Proficient in reading and summarizing complex texts.
• Able to manage time effectively in a fast-paced environment.
• Experience with data annotation is a plus.

Responsibilities

• Accurately label machine learning data to refine AI models.
• Collaborate with team to improve labeling processes.
• Complete assignments by deadlines while meeting team expectations.

Skills

Reading comprehension

Writing skills

Problem-solving

Time management

Education

Bachelors Degree

Job description

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Job Description

This person will be combining the two worlds of data and English writing. This role does not touch coding, SQL or dashboards but instead is living within the reading comprehension space. Their day to day includes accurately labelling 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 (30-60wpm), reading comprehension and pattern recognition. Finding those who are sharp and can navigate ambiguous technical jargon would be a great fit for the role! Experience with data labelling and data annotation are a huge plus! Those interacting independently with a chat bot, rating responses, do not have the reading comprehension skills required 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 inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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/ .

Skills And Requirements

Must Haves:

• Bachelors Degree
• 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. Bachelors degree in English, Literature, Creative Writing, Journalism, or a related field (or equivalent work experience)
  
  

Data annotation with textual data

Experience w RLHF

Technical background null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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