Job Description
Welo Data, a Welocalize brand, focuses on offering relevant, diverse, ethically sourced, high-quality, and scalable datasets to support the upcoming generation of artificial intelligence models. Welo Data brings together a carefully curated global community of over 500,000 AI training and domain experts, drawing on its more than 25 years of experience collaborating with the most forward-thinking businesses worldwide. Among our offerings are:
Annotation and Labelling:- Labeling, image and video classification, transcription, and summarization
Enhancing LLMs:- Red teaming, adversarial model training, SFT, RLHF, prompt engineering, and model output ranking.
Data Collection and Generation:- from remote field audio collection to institutional languages.
Relevance and Intent:- Training models for search, advertising, and LLM output requires culturally sensitive and sensitive ranking, relevance, and evaluation.
Become a member of Welo Data and help shape the digital world by contributing to innovative AI projects. Our team uses cutting-edge AI tools, frameworks, and best practices in conjunction with academic knowledge and practical experience.
Position: Digital Content Evaluation Specialist – English (India)
With an emphasis on Indian English, you will be instrumental in enhancing and standardizing digital content as a Digital Content Evaluation Specialist. Your efforts will directly improve the caliber and applicability of content used around the world, including:
- Mobile and Smart TV Applications
- AI Assistant Responses
- Music , Video Books and Podcasts
In order to find and fix problems and guarantee the best possible user experience, you will examine actual data.
Key Responsibility
(1) Content Review and Analysis :-
- Assess the quality, applicability, and cultural suitability of a variety of digital content.
- Examine AI assistant responses to make sure they are user-relevant and linguistically accurate.
- Examine books, music, movies, TV series, podcasts, and apps to find areas that need work.
(2) Feedback and Reporting
- Give useful criticism so that the content can be improved.
- Work together with groups to improve data quality and exchange insights.
(3) Data Integrity
- Respect confidentiality and data protection guidelines.
- Verify the evaluated content’s dependability and correctness.
(4) Cultural Context
- When conducting assessments, take into account user preferences, linguistic subtleties, and Indian culture.
Ideal Candidate Profile
- Knowledge of English as it is spoken in India: intimate familiarity with regional variances, cultural expressions, and linguistic subtleties.
- Content Enthusiast: Enthusiastic about books, podcasts, TV series, movies, and music.
- Tech-Savvy: Consistent user of contemporary devices like AI, smartphones, smart TVs, and streaming apps.
- Attention to Detail: Excellent observational abilities to spot problems with the content.
Project Details
Job Title | Digital Content Evaluation Specialist |
Pay Role | $3.00/hour |
Job Location | Remote (India-based candidates only) |
Schedule | Flexible, Average 4 hours per day |
Start Date | ASAP |
Type | Freelance / Independent Contractor |
Duration | Ongoing |
Digital Content Evaluation Specialist Requirements
Mandatory:-
- CEFR C2 level linguistic proficiency in Indian English.
- Live in India.
- dedication to at least 4 hours per week, if data volume permits.
- the readiness to sign an NDA (non-disclosure agreement).
Preferred:-
- broad cultural literacy in all demographics and generations.
- knowledge of the distribution channels and ecosystems for digital content.
- understanding of the dynamics and trends of online communities.
- strong interest in new developments in technology.
What We Offer
(1) Learning Opportunities:- Access to organized training courses to advance your knowledge and abilities.
(2) Support:- 24/7 live human assistance from our Community Experience Team.
(3) Career Growth:- Chances to investigate career options across a range of industries and work on long-term projects.
(4) Work-Life Balance:- Flexible schedules to accommodate diverse personal and professional needs.
Application Process
Send in your resume and a brief statement that includes the following information:
- Your enthusiasm for the position.
- relevant background in analysis, research, or content evaluation.
Students and anyone else looking to hone their professional evaluation abilities are encouraged to apply.
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