AI Model Fine-Tuning Virtual Assistant for Hire

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Train Custom AI Models. Without the Engineering Overhead.

Deploy highly vetted Virtual Assistants specializing in dataset curation, RLHF, LoRA fine-tuning, and RAG pipelines. Scale your machine learning capabilities with our fully managed, USA-standard experts at a fraction of the cost.

A Seamless Deployment Protocol

Access a diverse pool of expert ML VAs through one dedicated manager. Bypass the hassle of recruiting and testing.

01

Submit Requirements

Share your specific LLM/Model project needs, data formats, and goals with us via Email, Form, or WhatsApp.

02

Finalise the Deal

Our dedicated ML project manager will promptly review your data pipeline strategy and finalise partnership details.

03

Expert Execution

Your manager takes full charge, executing data cleaning and fine-tuning seamlessly through our vetted experts.

04

Pay Only for Output

We log and charge exclusively for the VA's actual working time. Your dedicated manager's supervision is completely free.

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What Your Model Training VA Does Daily

Executing complex data operations and parameter tuning to build domain-specific AI assets.

Dataset Curation & Cleaning

Scraping, parsing, and standardizing raw text/JSON data into high-quality instructional formats for training models.

RLHF Management

Executing Reinforcement Learning from Human Feedback by organizing grading tasks, reviewing outputs, and managing reward models.

Parameter Efficient Tuning

Configuring scripts for LoRA, QLoRA, and PEFT to fine-tune massive open-source models (Llama, Mistral) on low-compute instances.

Instruction Tuning

Crafting specialized instruction-response pairs to teach foundational models how to behave for your specific enterprise use case.

Synthetic Data Generation

Utilizing GPT-4 or Claude APIs via Python scripts to programmatically generate massive, high-quality synthetic datasets for training.

Evaluation & Benchmarking

Running established benchmarks (MMLU, HumanEval) and custom loss evaluations to test model performance post-training.

RAG Pipeline Setup

Processing documents, generating embeddings, and storing them in vector databases (Pinecone, Chroma) for Retrieval-Augmented Generation.

Prompt Optimization

Systematically testing and tweaking system prompts, temperature settings, and top-p values to eliminate hallucinations.

API Integration Prep

Packaging fine-tuned weights, pushing to Hugging Face hubs, and preparing Docker containers or endpoints (vLLM, RunPod) for production.

Hugging Face
PyTorch
LangChain
W&B
RunPod
AWS SageMaker

The Smart Choice: SageDoer

See why AI startups and enterprise data teams prefer our managed service over traditional platform hiring.

Traditional Platforms

  • Platform Fees

    Up to 40% in hidden markups, bidding, and memberships

  • Daily Management

    You must juggle and supervise multiple freelancers

  • Quality Assurance

    Hit-or-miss talent with unverified credentials

  • Staff Turnover

    Start the hiring and training process all over again

SageDoer Service

0% Hidden Fees
  • Billing & Invoicing

    Simple, unified, centralised USD invoicing for pure hours worked.

  • Daily Management

    Dedicated Project Manager acts as your single point of contact.

  • Quality Assurance

    Internally vetted, rigorously trained premium experts.

  • Staff Turnover

    Seamless internal replacements with zero workflow disruption.

Transparent Deployment Costs

Up to 70% Savings • Zero Platform Fees • Centralised Time Tracking

Part-Time Execution

20 Hours Per Week

$7 / hour

Est. Monthly Total

$560 USD / Month (4 Weeks)

  • Pay only for hours of pure work
  • Dedicated Project Manager included
  • Free management supervision
  • Zero setup or onboarding fees
  • No monthly membership charges
Initialise Deployment
Maximum Value

Full-Time Integration

40 Hours Per Week

$6 / hour

Est. Monthly Total

$960 USD / Month (4 Weeks)

  • Pay only for hours of pure work
  • Dedicated Project Manager included
  • Free management supervision
  • Zero setup or onboarding fees
  • No monthly membership charges
Initialise Deployment

USA-Standard AI Compliance & Quality

"We needed a dataset cleaned and formatted into JSONL for a Llama-3 fine-tune. The VA handled it flawlessly within 48 hours. The project manager ensured perfect execution."

Jonathan D.

AI Startup Founder, San Francisco, USA

"Our RAG pipeline required continuous updates. SageDoer provided a dedicated expert who integrates new embeddings daily without me having to write a single line of code."

Rebecca S.

CTO, Austin, TX, USA

"The centralized USD invoicing and zero platform fees literally cut our data engineering costs by 60%. Highly recommend for startups training custom LLMs."

Michael K.

Lead Data Scientist, New York, USA

Technical FAQs

How do you ensure data privacy for training?

All our VAs operate under strict USA-standard NDAs and utilize secure, encrypted environments. We only access the compute resources and buckets you provision for us.

Do you cover compute costs?

No. You provide the cloud compute (AWS, RunPod, Hugging Face endpoints). You pay SageDoer exclusively for the human expertise and labor required to execute the tasks.

Are VAs proficient in Python and PyTorch?

Yes. Our model fine-tuning specialists are rigorously vetted for python scripting, PyTorch/TensorFlow fundamentals, and library usage (Transformers, PEFT).

How does the "Free Management" work?

You pay the hourly rate ($6-$7/hr) for the VA's output. The dedicated ML Project Manager who ensures quality, tracks time, and translates your technical needs is 100% free.

Can they do RLHF grading?

Absolutely. We can assign VAs to manually review, score, and correct model outputs to create high-quality reward models for Reinforcement Learning.

What if the VA lacks a specific framework skill?

Because we manage a diverse pool of experts, your Project Manager will instantly swap or augment your team with a VA who possesses the exact technical stack you require.

Do I need to sign a long-term contract?

No lock-ins. Zero setup fees. No monthly membership charges. You pay for exactly what you use via a simple, centralized USD invoice.

How fast can we deploy?

Instant delegation. Once you submit your project requirements, our manager will finalize the scope and assign the right specialist within a few business days.

Initialize Partnership

Share your specific project needs with us. Our dedicated project manager will promptly review your goals and outline a tailored ML strategy.

Submit Requirements

Book a Call

Connection Encrypted. Zero hidden markups.