Ai Model Optimization

Ai Model Optimization Data Jobs

2 jobs found

Today

AI Engineer - Model Post Training

Wider Security LLC Newport, RI 🇺🇸 Remote

Newport, RI

Today

$100 - $250/hr Part time Ai Engineer Ai Model Optimization Ai Model Training

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Job Description

Wider Security LLC is hiring a part-time, fully remote AI Engineer to focus on post-training and alignment for large language models at scale. The work centers on supervised fine-tuning and safety-focused evaluation, with hands-on experience needed to support model tuning from 7B through 70B and beyond.

This role is built for an async-first team and emphasizes measurable outcomes across training, calibration, and adversarial robustness. You will help lead end-to-end post-training workflows, from data preparation through evaluation and deployment-oriented integration.

What you’ll do

Lead and contribute to post-training workflows including supervised fine-tuning, instruction tuning, DPO, RLHF, RLAIF, and related alignment techniques
Use QLoRA and other efficient fine-tuning methods across models spanning 7B to 70B+ parameter ranges
Train models to produce reliable structured outputs under adversarial input conditions
Build and run evaluation pipelines for safety-critical behavior, including adversarial test suites, red-team integration (for example, Garak), and regression tracking across model versions
Calibrate decision thresholds to support tiered policy configurations, including logprob-based confidence calibration at the serving layer
Design training approaches that preserve inference-time policy specification, enabling behavior changes without retraining
Curate and prepare training data, evaluation sets, and preference data pipelines
Iterate on training strategy to improve task performance, calibration, and adversarial robustness
Document approaches and decisions clearly for a distributed, async-first team

What you’ll need

US citizenship and current residency in the United States (firm requirement)
Concrete, verifiable production experience post-training open-weight LLMs, with experience at 7-8B, 13-30B, or 30B+ scales welcomed, and larger-scale experience a plus
Experience with modern open-weight model families such as Llama, Qwen, Mistral, or similar
Hands-on experience with QLoRA, LoRA, and efficient fine-tuning methods for large models
Background in alignment approaches including SFT, DPO, RLHF, RLAIF, or constitutional AI approaches
Experience training models for reliable structured output (JSON, schema-constrained generation, function-call style outputs)
Familiarity with serving stacks such as vLLM, TGI, or similar, plus comfort working with logprob-level model outputs
Deep familiarity with distributed training frameworks including DeepSpeed, FSDP, Megatron-LM, or similar
Proficiency in Python and comfort with multi-GPU, multi-node training infrastructure
Ability to work independently and manage time effectively in a part-time, async-first environment

Technologies

Python, QLoRA, LoRA, SFT, DPO, RLHF, RLAIF
constitutional AI, vLLM, TGI, DeepSpeed, FSDP, Megatron-LM
Llama, Qwen, Mistral, Garak

Eligibility

Applicants must be US citizens currently residing in the United States. The company is unable to consider applicants outside the US or without US citizenship, regardless of work authorization status.

Strong preferences

Direct experience training safety classifiers, content moderation models, jailbreak or prompt injection detectors, or other trust-and-safety ML systems
Experience with adversarial evaluation frameworks such as Garak, promptfoo, or similar
Comfort with deployment constraints typical of regulated or restricted-network environments

Bonus qualifications

Published research or open-source contributions related to LLM training, alignment, or AI safety
Prior work at an AI lab, a foundation model team, or on a production safety classifier
Experience designing or operating tiered policy systems where model behavior can be modulated at inference time

Location: Newport, RI (remote)
Job type: part time
Pay: USD 100 - 250 per hour

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21d ago

Associate AI Engineer

T-Mobile USA, Inc. Bellevue, WA

Bellevue, WA

21d ago

$81k - $161k/yr Full time Ai Engineering Ai Model Optimization Ai Systems Architecture

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Job Description

T-Mobile offers a strong compensation package built for long-term growth, along with benefits that support your health, family, and ongoing learning. This onsite role in Bellevue, WA focuses on developing and optimizing AI models that enhance customer service automation, with opportunities to apply prompt engineering, fine-tuning, and production integration practices to improve reliability, accuracy, and efficiency.

What you’ll do

Use prompt engineering techniques to improve AI model performance for customer service automation
Partner with cross-functional teams to integrate AI-driven enhancements into production systems
Support the development and optimization of AI models to align with operational goals
Contribute to the architecture of AI systems to improve customer interactions
Help ensure AI applications are reliable, accurate, and efficient within customer service operations
Fine-tune AI models to raise performance and user satisfaction
Complete additional duties and projects assigned by business management as needed

Requirements

Bachelor's Degree OR a combination of education and experience considered equivalent (Required)
Cloud Computing (Required)
Collaboration (Required)
Customer-Focused (Required)
Data Analysis (Required)
Data Management (Required)
Data Modeling (Required)
Model Tuning (Required)
Prompt Engineering (Required)
Must be at least 18 years of age
Must be legally authorized to work in the United States

Preferred education and experience

Acceptable areas of study include Computer Science, Engineering, or related field (Preferred)
Less than 2 years developing and optimizing AI models, particularly for customer service automation (Preferred)
Less than 2 years applying AI techniques such as prompt engineering and fine-tuning (Preferred)
Less than 2 years collaborating with cross-functional teams to integrate AI-driven solutions into production systems (Preferred)

Certifications (preferred)

Certified Analytics Professional (CAP) (Preferred)
Machine Learning Certification (Preferred)

Compensation

USD 80,900 - 160,710 per year.

Benefits

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave
Family building benefits
Back-up care and enhanced family support
Childcare subsidy
Tuition assistance and college coaching
Short- and long-term disability
Voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance
Voluntary disability insurance and voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Access to commuter and transit programs
Annual bonus or periodic sales incentive or bonus (in regular, non-temporary roles)
Year-end bonus (corporate employees)
Monthly bonuses (certain positions in Customer Care)

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