Company Description:
Verita AI is at the forefront of next-generation artificial intelligence, emphasizing nuance, multimodal reasoning, and human judgment. We are dedicated to building high-trust data pipelines for training and evaluating models across language, vision, audio, and video. Verita, meaning “truth,” reflects our commitment to creating contextually enriched, reliable data layers.
Our team spun out of Mercor and includes members from Stanford, Harvard, and leading AI organizations. We partner with world-class researchers and engineers to advance experimentation, rigor, and reliability in the field of AI.
Role Description:
- Design, implement, and optimize state-of-the-art machine learning models and training architectures.
- Build and scale data pipelines for model pretraining, fine-tuning, and evaluation.
- Develop and maintain reinforcement learning and evaluation environments that assess model reliability and robustness.
- Conduct advanced model analysis to identify behavioral failure modes and performance limitations.
- Rapidly iterate on models, datasets, and evaluation frameworks with minimal supervision.
- Integrate new research insights and experimental findings into applied systems.
- Contribute to technical documentation and reproducible workflows that meet high research standards.
Requirements:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field (required)
- Demonstrated expertise in training, evaluating, and deploying advanced ML models
- Strong background in multimodal learning, representation learning, or reinforcement learning
- Fluency in Python and proficiency with PyTorch, TensorFlow, or equivalent ML frameworks
- Experience with data preprocessing, feature engineering, and scalable ML pipelines
- Deep understanding of AI model evaluation, interpretability, and bias analysis
- Self-directed, reliable, and detail-oriented with a high standard for research quality
- Excellent written and verbal communication skills
Compensation:
- $40–$200 per hour (contract)
Additional Details:
- Location: Remote
- Type: Contractor
- Time Commitment: 40 hours per week, with at least 3 hours overlapping PST (9am–5pm)
- Process: Includes a take-home technical assessment (approx. one-week turnaround).
