PostTrain Loop Control Plane

A post-training workflow tool that connects LLM evals, reward design, and data-mixing decisions into one measurable improvement loop.

Added Jun 4, 2026

6 signals

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AI Infrastructure

LLM Operations

Model Evaluation

Opportunity Score

Opportunity: Medium (68%)

Evidence Strength

Vol: 30%

Urg: 50%

Spec: 100%

Market Analysis

medium

$ high

Medium to large: AI labs, model providers, and enterprise LLM teams investing in post-training and eval infrastructure

The Problem

AI teams are hiring for specialized post-training work across RLHF, RLVR, continual pre-training, late-stage data mixing, reward design, and evaluations. The recurring struggle is turning eval results into concrete model-improvement actions without fragmented notebooks, manual experiment tracking, and bespoke pipelines.

Potential Solution

Detailed solution approach available for premium members.

Why Now?

Market timing analysis available for premium members.

AI Research - Scientist/ Engineer

Post training models: https://www.alphaxiv.org/abs/2025.01v1 and https://arxiv.org/pdf/2503.16248

Added Jun 4, 2026

Sentient

clawjobs

Pioneer Talent Program - Research Data Scientist

Deep understanding of transformer architectures, large language model pretraining dynamics, and post-training methodology — including the shift from RLHF toward RLVR-based reasoning model training

Added Jun 4, 2026

Binance CEX

clawjobs

Privacy Research Engineer, Safeguards

Anthropic

Prior experience training large language models (e.g., collecting training datasets, pre-training models, post-training models via fine-tuning and RL, running evaluations on trained models)

Research, Mid-Training

Cognition

Hands-on experience with continual pre-training, annealing, or late-stage data mixing for large models

+4 more signals