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Remote Provenance Research Jobs (NOW HIRING)

Work with model researchers to define what "good data" means for our models, including quality ... Track datasets, metadata, provenance, and versions so experiments are reproducible and it's clear ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Document data provenance, lineage, and known limitations to support model evaluation ...

Scale models from research to production with a focus on performance, reliability, and ... You have a background in wildfire science, forestry, or remote sensing * Strong background in deep ...

Product Analyst

$110K - $140K/yr

Remote Salary : $110,000-$140,000 Commensurate with experience About the Role Finch AI is seeking a ... This role sits at the intersection of research security tradecraft, product, and engineering ...

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Remote Provenance Research information

What is remote provenance research?

Remote provenance research involves investigating the history and origins of objects, artworks, or artifacts from a distance, often using digital archives, databases, and online resources instead of in-person examinations. Researchers in this field typically work to verify the authenticity, ownership, and movement of items over time, which is critical for museums, collectors, and legal purposes. This approach has become increasingly important with advancements in technology and the need for global collaboration, allowing experts to access information and conduct thorough research without being physically present.

What skills and qualifications are needed to thrive as a remote provenance researcher?

To thrive as a Remote Provenance Researcher, you need a background in art history, museum studies, or a related field, along with strong research and analytical skills. Familiarity with databases, digital archives, provenance research software, and sometimes languages relevant to historical documentation is typically required. Attention to detail, critical thinking, and strong written communication skills help you synthesize information and collaborate with institutions remotely. Mastering these skills ensures accurate documentation of artwork origins, supports ethical acquisitions, and upholds institutional and legal standards.

What are common challenges faced by remote provenance researchers, and how can they be addressed?

Remote provenance researchers often encounter difficulties accessing physical archives or original documentation, which can slow down investigations. To address this, they rely heavily on digitized records, virtual collaboration tools, and networks of local contacts. Building strong relationships with museums, libraries, and experts worldwide can help overcome these barriers. Additionally, effective time management and clear communication with stakeholders are crucial for ensuring research progresses smoothly despite the remote nature of the role.

What is the difference between Remote Provenance Research vs Remote Archival Assistant?

AspectRemote Provenance ResearchRemote Archival Assistant
Required CredentialsHistory or Art History degree, research experienceLibrary Science or Archival Studies background, organizational skills
Work EnvironmentResearch-focused, analyzing provenance records, online databasesAssisting with archival cataloging, digitization, data entry
Employer & Industry UsageMuseums, auction houses, historical societiesArchives, libraries, cultural institutions
Search & Comparison IntentUnderstanding research scope, skills, and tasksClarifying support roles, administrative tasks

Remote Provenance Research involves analyzing and verifying the history of artworks or artifacts, requiring specialized research skills and historical knowledge. Remote Archival Assistants support archival management through data entry and digitization tasks. While both roles work remotely within cultural and historical sectors, provenance research is more research-intensive, whereas archival assistance focuses on organizational support.

More about Remote Provenance Research jobs

What cities are hiring for Remote Provenance Research jobs?

Cities with the most Remote Provenance Research job openings:

What are the most commonly searched types of Provenance Research jobs?

The most popular types of Provenance Research jobs are:

What states have the most Remote Provenance Research jobs?

States with the most job openings for Remote Provenance Research jobs include:

Infographic showing various Remote Provenance Research job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Evidence, Provenance and Analytical-Workflow Specialists - Remote

Axyde Analytics

Boston, MA โ€ข On-site, Remote

$150 - $300/hr

Part-time

Posted 15 days ago


Job description

Work arrangement: Remote within the United States, with potential international travel
Engagement: Contingent, part-time/on-call specialist
Anticipated compensation: $150–$300 per hour, depending on qualifications and assignment, or a negotiated fixed price by work package. $300 per hour is the maximum anticipated rate.

Opportunity

Axyde Analytics is assembling a multidisciplinary expert team for anticipated U.S. government-funded project-scoping assignments involving critical minerals and international infrastructure.

We seek specialists capable of designing and operating evidence-traceability, provenance, analytical-workflow, data-integration and decision-support systems for complex technical and commercial assessments.

Potential assignments may require integrating geological, engineering, environmental, market, financial, sponsor, regulatory and field evidence into transparent, reproducible findings and recommendations.

Axyde does not expect one candidate to cover every data and analytical discipline. Applicants should identify the evidence, provenance, workflow and data-governance areas in which they possess direct, demonstrable expertise.

Specialist Tracks

We are recruiting experts in one or more of the following tracks:

  • Evidence registers and source lineage

  • Data provenance and chain of custody

  • Multi-source data integration

  • Structured analytical techniques

  • Decision analysis and assumption management

  • Data-quality assessment and discrepancy resolution

  • Technical-document and workpaper control

  • Requirements and obligation traceability

  • Model-input, formula and output governance

  • Geospatial and tabular data integration

  • Mineral supply-chain provenance and traceability

  • Auditability, reproducibility and records management

  • Analytical workflow and configuration management

  • Role-based access and information protection

  • Data visualization and decision dashboards

  • Automated quality-control and exception detection

  • Cybersecurity and data-governance interfaces

  • Independent analytical and evidence review

Potential Responsibilities

Depending on the assignment and specialist track, selected experts may:

  • Establish controlled evidence, source, assumption, decision and action registers.

  • Record source, date, owner, confidence, limitation and decision effect for material evidence.

  • Integrate technical, commercial, financial, environmental, regulatory and field information.

  • Reconcile conflicting data, units, currencies, dates, definitions and assumptions.

  • Distinguish primary evidence, sponsor-supplied information, independent sources and analytical judgment.

  • Establish traceability from assignment requirements through analysis, findings and recommendations.

  • Develop reproducible workflows for calculations, models, technical reviews and deliverables.

  • Control versions, changes, comments, approvals and release records.

  • Evaluate data completeness, reliability, representativeness and fitness for the decision.

  • Design dashboards showing evidence gaps, assumptions, risks, decisions and acceptance status.

  • Support mineral provenance, chain-of-custody and responsible-sourcing assessments.

  • Review cybersecurity, access, storage, retention and information-sharing requirements.

  • Develop automated checks for missing evidence, inconsistent assumptions and unresolved exceptions.

  • Support vertical review from conclusion through calculation to source evidence.

  • Support horizontal review across technical, economic, schedule, budget and recommendation sections.

  • Identify decisive information gaps and assign validation tasks, owners and decision dates.

  • Prepare sanitized, Government-visible staffing or analytical decision records when directed.

  • Support international teams working across disciplines, organizations, languages and time zones.

  • Prepare concise workflow, evidence-quality and decision-support findings.

  • Serve as a workflow lead, data lead, contributor, alternate or independent analytical reviewer.

Required Qualifications

Candidates should possess:

  • At least 7–10 years of directly relevant analytical, data-governance, evidence-management, audit, intelligence, engineering, scientific or technical-delivery experience.

  • A degree in data science, information systems, engineering, physical science, geospatial science, intelligence studies, statistics, operations research, library/information science or a closely related field.

  • Direct responsibility for identifiable evidence-intensive technical, scientific, engineering, financial, intelligence or government decision-support efforts.

  • Demonstrated ability to make complex analytical work traceable, reproducible, reviewable and decision-oriented.

  • Experience integrating structured and unstructured information from multiple sources.

  • Experience designing or independently reviewing controlled analytical workflows, models, repositories or decision records.

  • Strong written and verbal English-language communication skills.

  • Ability to collaborate with technical experts without substituting workflow mechanics for professional judgment.

  • Either U.S. citizenship or lawful permanent-resident status in the United States.

  • Legal authorization to work in the United States without current or future sponsorship.

  • Willingness and ability to travel internationally when an assignment requires it.

  • No known employment, confidentiality, intellectual-property, noncompete, data-access or conflict-of-interest restriction that would prevent participation.

Experience involving mining, critical minerals, infrastructure, geospatial analysis, government acquisition, international development, audit, quality assurance or regulated technical environments is particularly valuable.

Application Information Requested

Please submit a résumé and a brief response identifying:

  1. Your strongest evidence, provenance, data-integration or analytical-workflow specialties.

  2. The technical, scientific, engineering, intelligence, financial or government environments in which you have applied them.

  3. Up to five representative systems, projects or analytical efforts and your personal responsibilities on each.

  4. Your experience with evidence lineage, assumption control, discrepancy resolution, reproducibility or independent review.

  5. The workflow, data, geospatial, visualization or governance tools you are qualified to use or review.

  6. Your experience protecting confidential, proprietary, business-sensitive or Government information.

  7. Countries and regions in which you have worked.

  8. Whether you can serve as a workflow lead, independent reviewer, or both.

  9. Your current U.S. location.

  10. Whether you are a U.S. citizen or lawful permanent resident.

  11. Your availability during the next 30 days.

  12. Your ability to travel internationally and any geographic restrictions.

  13. Your anticipated hourly rate.

  14. Any actual or potential conflicts involving governments, project sponsors, technology providers, consulting firms or current employers.

Engagement Conditions

This is a contingent opportunity supporting anticipated government-funded assignments. No employment, contract award, minimum workload or particular assignment is guaranteed.

Selection for an assignment will depend on contract award, analytical and data requirements, qualifications, availability, eligibility, conflicts, travel requirements, mutually acceptable compensation and execution of appropriate employment or consulting documentation.

Axyde may tailor and reformat selected résumés for proposal compliance without materially changing the candidate’s qualifications or experience.

Axyde Analytics
Strategic minerals • Supply-chain security • U.S. industrial base