Chemistry data from trained chemists.
A molecule that breaks valence rules is not a small error. We commission vetted chemists to write, label and grade the chemistry AI models learn from.
Chemistry, with proof.
Chemistry models make errors a chemist sees at a glance: invalid structures and impossible valences, lost stereochemistry, mechanisms that move electrons the wrong way, a synthesis step with incompatible conditions, or a confident misreading of an NMR spectrum. HUMXN commissions credential-checked chemists across organic, inorganic, physical, analytical and computational chemistry to write problems with worked solutions, label reaction schemes and spectra, and grade model reasoning step by step.
Every item is written or labeled to your specification, fingerprinted at intake and checked for duplicates, then reviewed by a second chemist. Safety screening flags content that would amount to harmful synthesis instructions, label provenance records whether each label came from the author, a model suggestion or an expert reviewer, and deliveries carry a signed receipt and audit trail. Sourced spectra and lab data come only from consenting sources.
For chemists, this is paid, remote work in your own subfield. You write graduate-level problems, label spectra and reaction schemes, grade model answers and review a colleague's work, at a rate shown before you accept each job. It suits researchers, industry scientists and faculty who want flexible work that uses real expertise. Your identity is not published, and approved work is paid automatically through Stripe.
Built to your specification.
Every engagement starts from a written spec and a pilot batch. These are the most common requests we source for chemistry.
Problems with worked solutions
Graduate-level problems in synthesis, mechanism, kinetics, thermodynamics and spectroscopy, with complete solutions.
Reaction and mechanism labels
Reaction schemes annotated with reagents, conditions, intermediates, arrow-pushing and stereochemical outcome.
Spectra annotation
NMR, IR and mass spectra labeled with peak assignments and the structure they support, from consenting sources.
Step-level reasoning grades
Chemists grade each step of a model's answer for valid structures, correct mechanism and sound reasoning.
Structure validation
Expert checks of model-generated molecules and SMILES for validity, stereochemistry and chemical plausibility.
Safety evaluation items
Prompts that test whether a model declines hazardous requests, with expected behavior defined by chemists and screened.
01Invalid structures
Models generate molecules that cannot exist. Chemists check valence, charge and stereochemistry on every label.
02Mechanism, not just product
A correct product with a wrong mechanism is a wrong answer. Step-level grading catches it.
03Hazardous content
Chemistry data can drift toward harmful instructions. Safety screening and expert-defined refusals keep datasets responsible.
Paid work in your field.
Remote and flexible, with the rate stated before you accept. Every job is reviewed by a second expert, and approved work is paid automatically.
- A PhD in chemistry or a closely related field, or doctoral study underway
- A master's degree with several years of laboratory or industry experience
- Hands-on experience interpreting NMR, IR or mass spectra
- Research or industry work in a subfield such as synthesis, medicinal or analytical chemistry
- Teaching experience at university level, for problem-writing tasks
Write graduate-level problems
Draft original chemistry problems with a verified answer and a complete worked solution.
Label spectra and reaction schemes
Assign peaks, annotate mechanisms and record conditions following a written guide.
Grade model reasoning
Mark each step of a model's answer for valid structures and correct mechanism.
Review another chemist's labels
Check a colleague's problems and labels as second reviewer before delivery.
Chemistry: asked often.
What chemistry training data can you produce?
Problems with worked solutions, reaction and mechanism annotations, spectra labels, structure validations, step-level grades of model reasoning and safety evaluation items. Requests are scoped by subfield and difficulty and matched to chemists verified in that area. Pilot batches let your team check the standard before scaling.
How do you handle hazardous chemistry?
All items pass safety screening at intake, and requests are scoped to avoid producing harmful synthesis instructions. Where a team needs safety evaluation data, chemists define the expected refusal or safe behavior rather than writing hazardous procedures. Items that fail screening are not delivered.
Do I need a PhD to work as a chemistry expert?
Many jobs ask for a PhD or doctoral study in progress, but a master's degree with substantial lab or industry experience qualifies for others. We verify identity and credentials before offering work, and may ask for a short, paid assessment task in your subfield.
How do I get paid?
Rates are set by field and task and are shown before you accept. Once a second chemist approves your work, it is credited to your balance and paid automatically through Stripe after your identity and tax details are verified. Every job is itemized in your ledger.
How much time is required?
There is no minimum commitment. Opportunities are offered when they match your verified subfield, each with a stated scope and deadline, and you choose which to accept. Work is remote and flexible, so it can fit around research, industry work or teaching.
Can we get exclusive rights to the data?
Yes. Commissioned chemistry datasets can be licensed exclusively, with scope, term and exclusivity agreed in writing. Deliveries come as JSONL, CSV, Parquet or Croissant with a signed receipt listing every item, and standing orders keep new problems and labels arriving at the same standard.
Chemistry, done by experts.
Need expert-made data in this field, or have the expertise to make it? Start here.