General AI Data Annotator - Indonesian

What we are looking for

RWS Group is looking for US-based General Data Annotators to review and score existing AI-generated responses to prompts (questions) in Indonesian and provide constructive feedback on the responses. This information will be used to train and improve generative AI and machine learning models. 

Typical Tasks

• Score and improve upon existing prompts (questions) and AI-generated responses across a general range of topics in Indonesian
• Identifying the sentiment in audio recordings of voices
• QA reporting – summarizations of QA’ing other annotators’ work. This includes providing data driven examples and providing locale level insights and recommendations.
• Testing (QA) other annotators' work
• Correcting incorrect prompt responses using natural language and examples
• Evaluate AI model responses to prompts through scoring, ranking, A/B testing, etc.
• Flag questionable responses that include toxicity, hallucinations, etc. 

(Training will be provided.)

Work benefits

• Work from home part time
• Work-life balance - maintain your lifestyle while you work
• Earn extra money on the side
• Timely payments made directly to your bank account

 Equipment you will need

• High-speed internet access (cable modem, DSL, etc.) 
• A personal computer
• Windows or Mac OS X operating system
• MacOS latest 4 versions: Ventura, Monterey, BigSur, Catalina

 Job Requirements

• Native-level fluency in Indonesian and proficient in English
• Located in any of the following US States: CA, CO, FL, IL, IN, GA, MA, MN, NC, NE, NH, NJ, NY, OK, OR, PA, TX, WA, WI 
• Ability to work part time, a minimum of 20hrs per week (approx. 4 hours per day M-F)
• Detail oriented with the ability to understand and follow instructions
• Ability to meet deadlines
• Responsible, reliable, and communicative 
• Up-to-date knowledge on Indonesian culture and news is a bonus

General Data Annotator for AI Models – US Only – Indonesian – Remote, Part Time, Work from Home

Job Description

Title: General Data Annotator for AI Models – US Only – Indonesian – Remote, Part Time, Work from Home

Contract Type: W2 
Location: Remote working in the following US States: CA, CO, FL, IL, IN, GA, MA, MN, NC, NE, NH, NJ, NY, OK, OR, PA, TX, WA, WI 
Work Schedule: Part time, minimum of 20hrs per week (approx. 4 hours per day M-F)
Compensation: $21.50 USD per hour
Experience: no prior experience required
Education: undergraduate degree preferred but not required
Start Date: ASAP

• Submit your information and complete our application assessment
• If your application is successful, you will be asked to complete a test to verify your knowledge and skills
• Depending on your test results, you will be contacted directly to start our onboarding process

At RWS, we’re here for one purpose: unlocking global understanding.

As a unique, world-leading provider of technology-enabled language, content, and intellectual property services, we remove the barriers to communication to make global connection possible. Our unrivalled experience and deep understanding of language have been developed over more than 60 years. As we look to shape the future, our ambition is to create a world where understanding is universal for everyone.

We work with over 80% of the world’s top 100 brands, more than three-quarters of Fortune’s 20 ‘Most Admired Companies’ and almost all the top pharmaceutical companies, investment banks, law firms and patent filers. Our client base spans Europe, Asia Pacific and North and South America. Our 65+ global locations across five continents service clients in the automotive, chemical, financial, legal, medical, pharmaceutical, technology and telecommunications sectors.   

If you like the idea of working with smart people who are passionate about breaking down language barriers and giving back to their communities, then you’ll love life at RWS. Our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong.

For further information, please visit: RWS