- അനുഭവം
- ഏതെങ്കിലും
- ശമ്പളം
- —
- ഓപ്പണിംഗുകൾ
- 1
- പോസ്റ്റ് ചെയ്തു
- 11 മണിക്കൂർ മുമ്പ്
- പ്രവർത്തന രീതി
- വീട്ടിൽ നിന്ന് ജോലി ചെയ്യുക
- വിദ്യാഭ്യാസം
- ബാച്ചിലേഴ്സ് ഡിഗ്രി
- പുനരാരംഭിക്കുക
- അപേക്ഷിക്കാൻ നിർബന്ധം
ജോലി വിവരണം
Job Overview
As an AI Trainer and Evaluator, you will play a crucial role in enhancing the capabilities of advanced AI models by providing high-quality, real-world data and insightful evaluations. This contract position involves remote work, contributing to the accuracy and effectiveness of AI systems across multiple domains.
Key Responsibilities
- Assess AI-generated outputs using established scoring rubrics across a variety of subjects.
- Annotate and label datasets to support improvements in AI model precision and dependability.
- Ensure content reviewed is relevant, coherent, and factually correct through meticulous attention to detail.
- Offer clear, constructive feedback to guide AI model refinement efforts.
- Work collaboratively with client teams to understand guidelines and help refine evaluation rubrics.
- Maintain detailed documentation of all annotations and evaluations performed.
- Perform detailed critical analysis of complex topics spanning business, finance, marketing, healthcare, and legal sectors.
Required Qualifications and Skills
- Sharp eye for detail and commitment to accurate data annotation and content review.
- Strong critical reading and analytical abilities, with proficiency in applying detailed rubrics.
- Excellent written and verbal communication skills to convey nuanced feedback.
- Bachelor's degree is mandatory.
- Experience in content evaluation or scoring large volumes of data using specific criteria.
- Prior involvement in AI training, machine learning data labeling, or similar areas is highly desirable.
- Capability to work both independently and as part of a remote team.
Preferred Experience
- Educational or professional background in business, finance, legal, marketing, healthcare, or research.
- Hands-on experience with AI training, human-in-the-loop systems, or AI content quality control.
- Knowledge of standard annotation tools or AI evaluation software platforms.