Indonesian Language Data and Quality Reviewer

Volga Partners • Part-time • Remote (United States, US) • 2m ago

Volga Partners is hiring for an Indonesian Language Data Evaluator.

Bahasa Indonesia

Please check the following applicable states that we are hiring in:

AZ - Arizona, CA - California, FL - Florida, HI - Hawaii, IL - Illinois, MA - Massachusetts, MI - Michigan, MN - Minnesota, NJ - New Jersey, NY - New York, NV - Nevada, OH - Ohio, OR - Oregon, PA - Pennsylvania, TX - Texas, UT - Utah, VA - Virginia, WA – Washington, KY-Kentucky, IA-Iowa.

Rate: $15.00/hour to $17.00/hour [If applicable, Volga Partners follows all state and city minimum wage requirements in the respective city and/or state of the applicant.]

Responsibilities and Duties:

Work within our client’s universal language platform and recommend improvements if necessary. UHRS platform.
Understand, monitor, review, track, analyze and evaluate data generated by your team on the universal platform.
Respond and react to changing priorities quickly and efficiently.
Understand and adhere to details of client requirements.
Be highly organized with attention to detail and a commitment to quality.
Understand data, relationships between data sets, and be able to identify and explain recommendations for improvement.
Understand details of client requirements regarding formatting and ensuring efficiency and accuracy in data preparation.
Adhere strictly to quality assurance and project guidelines system to ensure maximum data quality and meet clients' expectations.
Ability to familiarize text annotation, image annotation, data collection, search relevance tasks, and much more to improve machine learning models.
Communicate insights and provide solutions.
Monitor data trends and identify queries.
Research information for various entities, tools, and data.
Interpret data and turn it into information that can offer ways to improve a project.
Take batches of data, label and manipulate according to the project requirements.
Work closely with other teams on multiple projects to present data quality metrics & to identify new attributes.
Own the quality of all data and work on proactively identifying issues.
Focus on tasks and proofreading the work assigned.
Correct any errors or inaccuracies in a timely manner.
Ensure typing and comprehension skills are honed and remain sharp between responsibilities.
Translate project guidelines and documentation accurately.

Key Skills:

Good oral and written communication language skills: Fluent in English and one other language. (Bahasa Indonesia) - native or near native Indonesian fluency.
Awareness of culture sensitivity to understand and prioritize tasks.
The ideal person should also be fluent in spoken English as well as the second language, and also understand how people talk commonly in the workplace, at home, and in the street, and also have good writing skills.
Candidate should possess good logical and analytical skills to judge the data while being able to give reasoning.
Good time management and great interpersonal skills.
Critical thinking and problem-solving skills.
Sharp cognitive skills to focus on the task at hand.
Being a team player.
Ability to adapt.
Strong verbal and visual communication skills to present and explain insights.
Excellent attention to detail and accuracy.
This role requires decision-making skills when it comes to the evaluation of data and the performance of others on the UHRS platform.
Motivated to work directly with forms of repeated data labeling and annotation process to improve functionality and accuracy.
Ability to create accurate data labeling that helps businesses achieve revenue-generating opportunities.

Required Experience and Qualifications:

Fluent in English and Indonesian.
Awareness of culture sensitivity is imperative.
Excellent computer skills, especially typing and writing.
Previous data mining and analysis experience preferred.
Proven Ability to work effectively with different people.
Experience in quality management preferred.
Entry level position with on-the-job training.
Currently hiring for a part-time position, but likely to become full-time.
For a part-time position, must be available to work minimum between 10 am-2 pm Pacific Standard Time Monday through Friday (4 hours a day). For full time, must be 8 hours a day (8am to 5pm) in PST.
Fully Remote.
Must be flexible with training hours for the first few weeks.

Work Authorization: