Ara Zeta Project - AI Safety Evaluator - Korean (Korea)

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.

ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.

DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.

RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.

We are seeking experienced bilingual evaluators to support a multilingual AI safety project focused on evaluating model responses across culturally specific prompt-image datasets.

 

This project involves applying a structured safety rubric to assess AI-generated responses for appropriateness, safety, and reliability within the target locale’s cultural context.

 

Each language stream will process approximately 1,000 prompt-image pairs. Every item will receive two independent evaluations, with arbitration applied in cases of disagreement. Evaluations will primarily be documented in English, with a defined in-language sample.

 

Location: Remote – South Korea

Team: Welo Data – AI Services

Engagement Type: Freelance – Remote

Start Date: As soon as possible

Duration: 2-3 weeks

Weekly Commitment: 20–40 hours per week

Schedule Options:

• 4 hours per day, Monday–Friday

OR

• 2 hours per day, Monday–Friday + 10 weekend hours

Hourly rate: 22 USD

 

- Evaluate AI-generated responses using a structured safety rubric

- Complete two independent evaluations per item

- Provide concise, well-structured rationales in English

- Participate in calibration sessions

- Support arbitration when evaluation discrepancies occur

- Maintain quality and throughput targets during the evaluation window

 

- Fluency in the target language and English

- Deep cultural understanding of the target locale

- Strong written English skills for documentation and rationales

- Prior experience in safety evaluation, policy review, content moderation, or rubric-based assessment preferred

- Ability to apply detailed guidelines consistently

- Strong analytical skills and attention to nuance

- Reliable availability during the production window

- Priority may be given to contributors who previously worked on prompt-image or similar evaluation projects to reduce onboarding time and maintain continuity.

 

We are seeking experienced bilingual evaluators to support a multilingual AI safety project focused on evaluating model responses across culturally specific prompt-image datasets.

 

This project involves applying a structured safety rubric to assess AI-generated responses for appropriateness, safety, and reliability within the target locale’s cultural context.

 

Each language stream will process approximately 1,000 prompt-image pairs. Every item will receive two independent evaluations, with arbitration applied in cases of disagreement. Evaluations will primarily be documented in English, with a defined in-language sample.

 

Location: Remote – South Korea

Team: Welo Data – AI Services

Engagement Type: Freelance – Remote

Start Date: As soon as possible

Duration: 2-3 weeks

Weekly Commitment: 20–40 hours per week

Schedule Options:

• 4 hours per day, Monday–Friday

OR

• 2 hours per day, Monday–Friday + 10 weekend hours

Hourly rate: 22 USD

 

- Evaluate AI-generated responses using a structured safety rubric

- Complete two independent evaluations per item

- Provide concise, well-structured rationales in English

- Participate in calibration sessions

- Support arbitration when evaluation discrepancies occur

- Maintain quality and throughput targets during the evaluation window

 

- Fluency in the target language and English

- Deep cultural understanding of the target locale

- Strong written English skills for documentation and rationales

- Prior experience in safety evaluation, policy review, content moderation, or rubric-based assessment preferred

- Ability to apply detailed guidelines consistently

- Strong analytical skills and attention to nuance

- Reliable availability during the production window

- Priority may be given to contributors who previously worked on prompt-image or similar evaluation projects to reduce onboarding time and maintain continuity.

 

Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.   

🌱 Limitless Growth  

Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.   

🌍 Limitless Support  

Be part of a global contributor community with responsive guidance and support.   

💡 Real Impact  

Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.  

 

Apply now by answering a few quick questions to join our database and become part of our growing community. 

 

Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.  

At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms. 

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models. As a Welocalize brand, WeloData leverages over 25 years of experience in partnering with the world’s most innovative companies and brings together a curated global community of over 500,000 AI training and domain experts to offer services that span:

ANNOTATION & LABELLING: Transcription, summarization, image and video classification and labeling.

ENHANCING LLMs: Prompt engineering, SFT, RLHF, red teaming and adversarial model training, model output ranking.

DATA COLLECTION & GENERATION: From institutional languages to remote field audio collection.

RELEVANCE & INTENT: Culturally nuanced and aware, ranking, relevance, and evaluation to train models for search, ads, and LLM output.

Want to join our Welo Data team? We bring practical, applied AI expertise to projects. We have both strong academic experience and a deep working knowledge of state-of-the-art AI tools, frameworks, and best practices. Help us elevate our clients' Data at Welo Data.